daily.json

{"2021-05-25": {"2101.03909": "|[deep joint source channel coding for wirelessimage transmission with ofdm](https://arxiv.org/abs/2101.03909)|[Deep-JSCC-for-images-with-OFDM](https://github.com/mingyuyng/Deep-JSCC-for-images-with-OFDM)|\n", "2105.07196": "|[joint learning of multiple granger causal networks via non-convex regularizations: inference of group-level brain connectivity](https://arxiv.org/abs/2105.07196)|[JGranger_ncvx](https://github.com/parinthorn/JGranger_ncvx)|\n", "2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n", "2012.13607": "|[deep active learning approach to adaptive beamforming for mmwave initial alignment](https://arxiv.org/abs/2012.13607)|[DL-ActiveLearning-BeamAlignment](https://github.com/foadsohrabi/DL-ActiveLearning-BeamAlignment)|\n", "2105.10883": "|[byzantine-resilient federated machine learning via over-the-air computation](https://arxiv.org/abs/2105.10883)|[Byzantine_AirComp](https://github.com/goldenBill/Byzantine_AirComp)|\n"}, "2021-05-24": {"2105.10398": "|[semi-supervised learning for identifying the likelihood of agitation in people with dementia](https://arxiv.org/abs/2105.10398)|[Agitation_detection](https://github.com/RoonakR/Agitation_detection)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[MCR2](https://github.com/Ma-Lab-Berkeley/MCR2)|\n"}, "2021-05-23": {}, "2021-05-26": {"2011.12121": "|[self-supervised transfer learning of physiological representations from free-living wearable data](https://arxiv.org/abs/2011.12121)|[Step2heart](https://github.com/sdimi/Step2heart)|\n", "1810.10625": "|[robust adversarial learning via sparsifying front ends](https://arxiv.org/abs/1810.10625)|[sparsity-based-defenses](https://github.com/soorya19/sparsity-based-defenses)|\n", "2105.11580": "|[npd entropy: a non-parametric differential entropy rate estimator](https://arxiv.org/abs/2105.11580)|[npd_entropy](https://github.com/afeutrill/npd_entropy)|\n", "2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the entropy of classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n"}, "2021-05-22": {}, "2021-05-21": {"2102.03814": "|[min2net: end-to-end multi-task learning for subject-independent motor imagery eeg classification](https://arxiv.org/abs/2102.03814)|[MIN2Net](https://github.com/IoBT-VISTEC/MIN2Net)|\n", "2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n"}, "2021-05-27": {"2011.07782": "|[learning to continuously optimize wireless resource in episodically dynamic environment](https://arxiv.org/abs/2011.07782)|[ICASSP2021](https://github.com/Haoran-S/ICASSP2021)|\n", "2102.05793": "|[lenient regret and good-action identification in gaussian process bandits](https://arxiv.org/abs/2102.05793)|[GoodAction](https://github.com/caitree/GoodAction)|\n"}, "2021-05-28": {"1910.14322": "|[multi-resolution csi feedback with deep learning in massive mimo system](https://arxiv.org/abs/1910.14322)|[CRNet](https://github.com/Kylin9511/CRNet)|\n", "2007.00038": "|[unsupervised deep learning for massive mimo hybrid beamforming](https://arxiv.org/abs/2007.00038)|[HBF-Net](https://github.com/HamedHojatian/HBF-Net)|\n", "2105.12916": "|[robust learning from corrupted eeg with dynamic spatial filtering](https://arxiv.org/abs/2105.12916)|[dynamic-spatial-filtering](https://github.com/hubertjb/dynamic-spatial-filtering)|\n"}, "2021-05-29": {}, "2021-05-30": {}, "2021-05-31": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2105.13864": "|[salientsleepnet: multimodal salient wave detection network for sleep staging](https://arxiv.org/abs/2105.13864)|[SalientSleepNet](https://github.com/ziyujia/SalientSleepNet)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2021-06-01": {"1910.09857": "|[an efficient and effective second-order training algorithm for lstm-based adaptive learning](https://arxiv.org/abs/1910.09857)|[EfficientEffectiveLSTM](https://github.com/nurimertvural/EfficientEffectiveLSTM)|\n", "2008.03612": "|[block deep neural network-based signal detector for generalized spatial modulation](https://arxiv.org/abs/2008.03612)|[B_DNN](https://github.com/hasanabs/B_DNN)|\n", "2011.00619": "|[support recovery for sparse multidimensional phase retrieval](https://arxiv.org/abs/2011.00619)|[Sparse-Multidimensional-PR](https://github.com/sew347/Sparse-Multidimensional-PR)|\n", "2011.14387": "|[overcoming measurement inconsistency in deep learning for linear inverse problems: applications in medical imaging](https://arxiv.org/abs/2011.14387)|[mri-tvtv](https://github.com/marijavella/mri-tvtv)|\n", "2012.09778": "|[interval propagation through the discrete fourier transform](https://arxiv.org/abs/2012.09778)|[Fourier-transform](https://github.com/marcodeangelis/Fourier-transform)|\n", "2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2105.14642": "|[an iterative jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs](https://arxiv.org/abs/2105.14642)|[JACOBI-PCA](https://github.com/cristian-rusu-research/JACOBI-PCA)|\n", "2101.12370": "|[an automated theorem proving framework for information-theoretic results](https://arxiv.org/abs/2101.12370)|[psitip](https://github.com/cheuktingli/psitip)|\n"}, "2021-06-02": {"2011.10282": "|[reconfigurable intelligent surface enabled federated learning: a unified communication-learning design approach](https://arxiv.org/abs/2011.10282)|[RIS-FL](https://github.com/liuhang1994/RIS-FL)|\n", "2101.00895": "|[a mixed integer least-squares formulation of the gnss snapshot positioning problem](https://arxiv.org/abs/2101.00895)|[snapshot-positioning](https://github.com/eyalw711/snapshot-positioning)|\n", "2106.00606": "|[dynamic-deep: ecg task-aware compression](https://arxiv.org/abs/2106.00606)|[Dynamic-Deep](https://github.com/eladwass/Dynamic-Deep)|\n", "2106.00613": "|[a compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel eeg](https://arxiv.org/abs/2106.00613)|[A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG](https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG)|\n", "2106.00615": "|[meta-har: federated representation learning for human activity recognition](https://arxiv.org/abs/2106.00615)|[Meta-HAR](https://github.com/Chain123/Meta-HAR)|\n"}, "2021-06-03": {"2104.01504": "|[adaptive self-interference cancellation for full-duplex wireless communication systems](https://arxiv.org/abs/2104.01504)|[Full-Duplex-Steepest-Descent](https://github.com/ebalti/Full-Duplex-Steepest-Descent)|\n", "2106.00941": "|[self-training sampling with monolingual data uncertainty for neural machine translation](https://arxiv.org/abs/2106.00941)|[UncSamp](https://github.com/wxjiao/UncSamp)|\n"}, "2021-06-04": {"2006.11435": "|[channel estimation for one-bit multiuser massive mimo using conditional gan](https://arxiv.org/abs/2006.11435)|[Channel_Estimation_cGAN](https://github.com/YudiDong/Channel_Estimation_cGAN)|\n", "2010.15120": "|[gender bias in depression detection using audio features](https://arxiv.org/abs/2010.15120)|[DepAudioNet_reproduction](https://github.com/adbailey1/DepAudioNet_reproduction)|\n", "2101.03468": "|[heppcat: probabilistic pca for data with heteroscedastic noise](https://arxiv.org/abs/2101.03468)|[heteroscedastic-probabilistic-pca](https://gitlab.com/dahong/heteroscedastic-probabilistic-pca)|\n", "2103.04722": "|[sparse kronecker-product coding for unsourced multiple access](https://arxiv.org/abs/2103.04722)|[SKPC-UMA](https://github.com/Zeyu-Han01/SKPC-UMA)|\n", "2010.12461": "|[multi-uav path planning for wireless data harvesting with deep reinforcement learning](https://arxiv.org/abs/2010.12461)|[uav_data_harvesting](https://github.com/hbayerlein/uav_data_harvesting)|\n"}, "2021-06-05": {}, "2021-06-06": {}, "2021-06-07": {"2106.02352": "|[cold: concurrent loads disaggregator for non-intrusive load monitoring](https://arxiv.org/abs/2106.02352)|[cold-nilm](https://github.com/arx7ti/cold-nilm)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2106.02146": "|[the signed cumulative distribution transform for 1-d signal analysis and classification](https://arxiv.org/abs/2106.02146)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n"}, "2021-06-08": {"2006.13019": "|[optimal network slicing for service-oriented networks with flexible routing and guaranteed e2e latency](https://arxiv.org/abs/2006.13019)|[networkslicing](https://github.com/chenweikun/networkslicing)|\n", "2106.00639": "|[multi-modal point-of-care diagnostics for covid-19 based on acoustics and symptoms](https://arxiv.org/abs/2106.00639)|[MuDiCov](https://github.com/iiscleap/MuDiCov)|\n", "2106.03497": "|[configuring an intelligent reflecting surface for wireless communications](https://arxiv.org/abs/2106.03497)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[BDforUavPath](https://github.com/Yuanliaoo/BDforUavPath)|\n", "2106.02782": "|[on perceptual lossy compression: the cost of perceptual reconstruction and an optimal training framework](https://arxiv.org/abs/2106.02782)|[Perceptual-Lossy-Compression](https://github.com/ZeyuYan/Perceptual-Lossy-Compression)|\n"}, "2021-06-09": {"2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2106.04043": "|[dilated convolution based csi feedback compression for massive mimo systems](https://arxiv.org/abs/2106.04043)|[DCRNet](https://github.com/recusant7/DCRNet)|\n", "2012.14350": "|[deepbeam: deep waveform learning for coordination-free beam management in mmwave networks](https://arxiv.org/abs/2012.14350)|[deepbeam](https://github.com/wineslab/deepbeam)|\n", "2106.02796": "|[principal bit analysis: autoencoding with schur-concave loss](https://arxiv.org/abs/2106.02796)|[PBA](https://github.com/SourbhBh/PBA)|\n", "2106.04443": "|[robust generalization despite distribution shift via minimum discriminating information](https://arxiv.org/abs/2106.04443)|[PMDI_DRO](https://github.com/pmdidro/PMDI_DRO)|\n"}, "2021-06-10": {"2105.14642": "|[an iterative jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs](https://arxiv.org/abs/2105.14642)|[JACOBI-PCA](https://github.com/cristian-rusu-research/JACOBI-PCA)|\n", "2106.04280": "|[optimizing a binary intelligent reflecting surface for ofdm communications under mutual coupling](https://arxiv.org/abs/2106.04280)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2106.05148": "|[time-frequency phase retrieval for audio -- the effect of transform parameters](https://arxiv.org/abs/2106.05148)|[phaseRetrievalEvaluation](https://github.com/andimarafioti/phaseRetrievalEvaluation)|\n", "1905.09944": "|[unsupervised discovery of temporal structure in noisy data with dynamical components analysis](https://arxiv.org/abs/1905.09944)|[DynamicalComponentsAnalysis](https://github.com/BouchardLab/DynamicalComponentsAnalysis)|\n"}, "2021-06-11": {"2106.05377": "|[generating mimo channels for 6g virtual worlds using ray-tracing simulations](https://arxiv.org/abs/2106.05377)|[SSP-Raymobtime](https://github.com/lasseufpa/SSP-Raymobtime)|\n", "2106.05380": "|[aerial reconfigurable intelligent surface-aided wireless communication systems](https://arxiv.org/abs/2106.05380)|[Aerial-RIS](https://github.com/trinhudo/Aerial-RIS)|\n"}, "2021-06-12": {}, "2021-06-13": {}, "2021-06-14": {"2102.13416": "|[moreau-yosida $f$-divergences](https://arxiv.org/abs/2102.13416)|[moreau-yosida-f-divergences](https://github.com/renyi-ai/moreau-yosida-f-divergences)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[MCR2](https://github.com/Ma-Lab-Berkeley/MCR2)|\n"}, "2021-06-15": {"2106.07006": "|[towards fast region adaptive ultrasound beamformer for plane wave imaging using convolutional neural networks](https://arxiv.org/abs/2106.07006)|[cnnusbf](https://github.com/rpm1412/cnnusbf)|\n", "2106.07016": "|[wase: learning when to attend for speaker extraction in cocktail party environments](https://arxiv.org/abs/2106.07016)|[wase](https://github.com/aispeech-lab/wase)|\n", "2106.07066": "|[enhanced hyperspectral image super-resolution via rgb fusion and tv-tv minimization](https://arxiv.org/abs/2106.07066)|[hs-sr-tvtv](https://github.com/marijavella/hs-sr-tvtv)|\n", "2012.07983": "|[on continuous local bdd-based search for hybrid sat solving](https://arxiv.org/abs/2012.07983)|[GradSAT](https://github.com/vardigroup/GradSAT)|\n", "2103.02700": "|[decoding supercodes of gabidulin codes and applications to cryptanalysis](https://arxiv.org/abs/2103.02700)|[Attack_on_LIGA](https://github.com/mbombar/Attack_on_LIGA)|\n", "2106.02782": "|[on perceptual lossy compression: the cost of perceptual reconstruction and an optimal training framework](https://arxiv.org/abs/2106.02782)|[Perceptual-Lossy-Compression](https://github.com/ZeyuYan/Perceptual-Lossy-Compression)|\n"}, "2021-06-16": {"2004.11468": "|[how to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series](https://arxiv.org/abs/2004.11468)|[uniqed](https://github.com/phrenico/uniqed)|\n", "2005.08898": "|[accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent](https://arxiv.org/abs/2005.08898)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2104.02469": "|[speaker diarization using two-pass leave-one-out gaussian plda clustering of dnn embeddings](https://arxiv.org/abs/2104.02469)|[VBx](https://github.com/hltcoe/VBx)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2106.07939": "|[attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes](https://arxiv.org/abs/2106.07939)|[disco](https://github.com/nfurnon/disco)|\n", "2102.11086": "|[improving lossless compression rates via monte carlo bits-back coding](https://arxiv.org/abs/2102.11086)|[mcbits](https://github.com/ryoungj/mcbits)|\n", "2102.12675": "|[computing accurate probabilistic estimates of one-d entropy from equiprobable random samples](https://arxiv.org/abs/2102.12675)|[Entropy](https://github.com/rehsani/Entropy)|\n", "2106.07964": "|[improving the list decoding version of the cyclically equivariant neural decoder](https://arxiv.org/abs/2106.07964)|[code](https://github.com/improvedlistdecoder/code)|\n"}, "2021-06-17": {"2106.07785": "|[multivariate public key cryptosystem from sidon spaces](https://arxiv.org/abs/2106.07785)|[Sidon-Cryptosystem](https://github.com/b-langton/Sidon-Cryptosystem)|\n"}, "2021-06-18": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2105.00528": "|[a 1d-cnn based deep learning technique for sleep apnea detection in iot sensors](https://arxiv.org/abs/2105.00528)|[CNN_sleep_apnea](https://github.com/arlenejohn/CNN_sleep_apnea)|\n", "2106.09327": "|[minimax estimation of partially-observed vector autoregressions](https://arxiv.org/abs/2106.09327)|[PartiallyObservedVectorAutoRegressions](https://github.com/gdalle/PartiallyObservedVectorAutoRegressions)|\n", "2106.09594": "|[a factor graph em algorithm for inference of kinetic microstates from patch clamp measurements](https://arxiv.org/abs/2106.09594)|[PatchClampFactorGraphEM](https://github.com/andreweckford/PatchClampFactorGraphEM)|\n"}, "2021-06-19": {}, "2021-06-20": {}, "2021-06-21": {"2101.02452": "|[robustsleepnet: transfer learning for automated sleep staging at scale](https://arxiv.org/abs/2101.02452)|[RobustSleepNet](https://github.com/Dreem-Organization/RobustSleepNet)|\n", "2106.10108": "|[under the sand: navigation and localization of a small unmanned aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2106.10132": "|[vqmivc: vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion](https://arxiv.org/abs/2106.10132)|[VQMIVC](https://github.com/Wendison/VQMIVC)|\n", "2010.07904": "|[probabilistic sequential shrinking: a best arm identification algorithm for stochastic bandits with corruptions](https://arxiv.org/abs/2010.07904)|[2021-ICML](https://github.com/zixinzh/2021-ICML)|\n"}, "2021-06-22": {"1912.05507": "|[automated pipeline for eeg artifact reduction (appear) recorded during fmri](https://arxiv.org/abs/1912.05507)|[appear](https://github.com/obada-alzoubi/appear)|\n", "2006.10159": "|[automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors](https://arxiv.org/abs/2006.10159)|[qkeras](https://github.com/google/qkeras)|\n", "2006.16671": "|[real elliptically skewed distributions and their application to robust cluster analysis](https://arxiv.org/abs/2006.16671)|[Real-Elliptically-Skewed-Distributions](https://github.com/schrchr/Real-Elliptically-Skewed-Distributions)|\n", "2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n"}, "2021-06-23": {"2103.09171": "|[interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones](https://arxiv.org/abs/2103.09171)|[DBA](https://github.com/fpetitjean/DBA)|\n", "2104.01293": "|[extraction of instantaneous frequencies and amplitudes in nonstationary time-series data](https://arxiv.org/abs/2104.01293)|[NFMD-ExtractionInstantaneous](https://github.com/sheadan/NFMD-ExtractionInstantaneous)|\n", "2104.04757": "|[adversarially-trained nonnegative matrix factorization](https://arxiv.org/abs/2104.04757)|[AT_NMF](https://github.com/caiting123321/AT_NMF)|\n", "2106.10711": "|[transfer bayesian meta-learning via weighted free energy minimization](https://arxiv.org/abs/2106.10711)|[meta_learning_pacoh](https://github.com/jonasrothfuss/meta_learning_pacoh)|\n", "2106.11170": "|[transformer-based spatial-temporal feature learning for eeg decoding](https://arxiv.org/abs/2106.11170)|[EEG-Transformer](https://github.com/anranknight/EEG-Transformer)|\n", "2106.11595": "|[reinforcement learning for phy layer communications](https://arxiv.org/abs/2106.11595)|[malin-multi-armed-bandit-learning-for-iot-networks-with-grc](https://bitbucket.org/scee_ietr/malin-multi-armed-bandit-learning-for-iot-networks-with-grc)|\n", "2002.12873": "|[federated over-air subspace tracking from incomplete and corrupted data](https://arxiv.org/abs/2002.12873)|[distributed-pca](https://github.com/praneethmurthy/distributed-pca)|\n", "2106.11438": "|[instance-optimal compressed sensing via posterior sampling](https://arxiv.org/abs/2106.11438)|[code-cs-fairness](https://github.com/ajiljalal/code-cs-fairness)|\n", "2106.11723": "|[deep stereo image compression with decoder side information using wyner common information](https://arxiv.org/abs/2106.11723)|[DWSIC](https://github.com/ipc-lab/DWSIC)|\n"}, "2021-06-24": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2006.09461": "|[robust compressed sensing using generative models](https://arxiv.org/abs/2006.09461)|[csgm-robust-neurips](https://github.com/ajiljalal/csgm-robust-neurips)|\n"}, "2021-06-25": {"1912.01171": "|[universal adversarial perturbations for cnn classifiers in eeg-based bcis](https://arxiv.org/abs/1912.01171)|[UAP_EEG](https://github.com/ZihanLiu95/UAP_EEG)|\n", "2010.11991": "|[atlas fusion -- modern framework for autonomous agent sensor data fusion](https://arxiv.org/abs/2010.11991)|[Atlas-Fusion](https://github.com/Robotics-BUT/Atlas-Fusion)|\n", "2106.12728": "|[atp-net: an attention-based ternary projection network for compressed sensing](https://arxiv.org/abs/2106.12728)|[ATP-Net](https://github.com/MasonNie/ATP-Net)|\n", "2106.13083": "|[a declarative goal-oriented framework for smart environments with 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towards 2x nlp bert acceleration](https://arxiv.org/abs/2107.02027)|[packedBERT](https://github.com/graphcore/tutorials/tree/sdk-release-2.1/blogs_code/packedBERT)|\n"}, "2021-07-07": {"2012.04358": "|[discrete signal processing on meet/join lattices](https://arxiv.org/abs/2012.04358)|[lattice-signal-processing](https://github.com/bseifert-HSA/lattice-signal-processing)|\n", "2102.05150": "|[rodnet: a real-time radar object detection network cross-supervised by camera-radar fused object 3d localization](https://arxiv.org/abs/2102.05150)|[RODNet](https://github.com/yizhou-wang/RODNet)|\n", "2107.02389": "|[learning semantic segmentation of large-scale point clouds with random sampling](https://arxiv.org/abs/2107.02389)|[RandLA-Net](https://github.com/QingyongHu/RandLA-Net)|\n", "2104.09460": "|[bayesian algorithm execution: estimating computable properties of black-box functions using mutual 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modification](https://arxiv.org/abs/2107.04973)|[pytorch-speech-transformer](https://github.com/ravi-0841/pytorch-speech-transformer)|\n", "2107.05050": "|[neural waveshaping synthesis](https://arxiv.org/abs/2107.05050)|[neural-waveshaping-synthesis](https://github.com/ben-hayes/neural-waveshaping-synthesis)|\n", "2107.05262": "|[dihedral multi-reference alignment](https://arxiv.org/abs/2107.05262)|[DihedralMRA](https://github.com/nirsharon/DihedralMRA)|\n", "2102.02541": "|[on fading channel dependency structures with a positive zero-outage capacity](https://arxiv.org/abs/2102.02541)|[zero-outage-joint-distributions](https://gitlab.com/klb2/zero-outage-joint-distributions)|\n"}, "2021-07-14": {"2107.06242": "|[low rate protograph-based ldpc codes for continuous variable quantum key distribution](https://arxiv.org/abs/2107.06242)|[Protograph_Optimization](https://github.com/kadirgumus/Protograph_Optimization)|\n"}, "2021-07-15": {"2107.06678": "|[optimal power allocation in downlink noma](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2107.06440": "|[trellis bma: coded trace reconstruction on ids channels for dna storage](https://arxiv.org/abs/2107.06440)|[clustered-nanopore-reads-dataset](https://github.com/microsoft/clustered-nanopore-reads-dataset)|\n"}, "2021-07-16": {"2104.13069": "|[visualization of linear operations in the spherical harmonics domain](https://arxiv.org/abs/2104.13069)|[visualization-of-sh-domain-operations](https://github.com/kentgens/visualization-of-sh-domain-operations)|\n", "2107.07250": "|[a low-complexity radar detector outperforming os-cfar for indoor drone obstacle avoidance](https://arxiv.org/abs/2107.07250)|[RadarDetector](https://github.com/ali20480/RadarDetector)|\n"}, "2021-07-17": {}, "2021-07-18": {}, "2021-07-19": {"2007.00322": "|[kernel learning for high-resolution time-frequency distribution](https://arxiv.org/abs/2007.00322)|[KL-TFD](https://github.com/teki97/KL-TFD)|\n", "2107.07596": "|[depth estimation from monocular images and sparse radar using deep ordinal regression network](https://arxiv.org/abs/2107.07596)|[DORN_radar](https://github.com/lochenchou/DORN_radar)|\n", "2009.12789": "|[learning optimal representations with the decodable information bottleneck](https://arxiv.org/abs/2009.12789)|[Mini_Decodable_Information_Bottleneck](https://github.com/YannDubs/Mini_Decodable_Information_Bottleneck)|\n", "2102.07402": "|[information flows of diverse autoencoders](https://arxiv.org/abs/2102.07402)|[IPRL](https://github.com/Sungyeop/IPRL)|\n"}, "2021-07-20": {}, 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disaggregation using variational autoencoders](https://arxiv.org/abs/2103.12177)|[VAE-NILM](https://github.com/ETSSmartRes/VAE-NILM)|\n", "2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2104.12922": "|[one billion audio sounds from gpu-enabled modular synthesis](https://arxiv.org/abs/2104.12922)|[torchsynth](https://github.com/torchsynth/torchsynth)|\n", "2107.09202": "|[compressing multisets with large alphabets](https://arxiv.org/abs/2107.09202)|[multiset-compression](https://github.com/facebookresearch/multiset-compression)|\n"}, "2021-07-22": {"2106.10132": "|[vqmivc: vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion](https://arxiv.org/abs/2106.10132)|[VQMIVC](https://github.com/Wendison/VQMIVC)|\n", "2107.09716": "|[regularized classification-aware quantization](https://arxiv.org/abs/2107.09716)|[rcaq](https://github.com/dsevero/rcaq)|\n", "2107.09869": "|[ecg heartbeat classification using multimodal fusion](https://arxiv.org/abs/2107.09869)|[ECG-Heartbeat-Classification-Using-Multimodal-Fusion](https://github.com/zaamad/ECG-Heartbeat-Classification-Using-Multimodal-Fusion)|\n"}, "2021-07-23": {"2004.08962": "|[high-dimensional fast convolutional framework (hicu) for calibrationless mri](https://arxiv.org/abs/2004.08962)|[HICU](https://github.com/OSU-CMR/HICU)|\n", "2102.07896": "|[a multispeaker dataset of raw and reconstructed speech production real-time mri video and 3d volumetric images](https://arxiv.org/abs/2102.07896)|[usc_speech_mri](https://github.com/usc-mrel/usc_speech_mri)|\n", "2107.10790": "|[interpretable sincnet-based deep learning for emotion recognition from eeg brain activity](https://arxiv.org/abs/2107.10790)|[SincNet-for-Autism-EEG-based-Emotion-Recognition](https://github.com/meiyor/SincNet-for-Autism-EEG-based-Emotion-Recognition)|\n"}, "2021-07-24": {}, "2021-07-25": {}, "2021-07-26": {}, "2021-07-27": {"2004.02494": "|[adaptive social learning](https://arxiv.org/abs/2004.02494)|[asl-it-2021](https://github.com/asl-epfl/asl-it-2021)|\n", "2101.00895": "|[a mixed integer least-squares formulation of the gnss snapshot positioning problem](https://arxiv.org/abs/2101.00895)|[snapshot-positioning](https://github.com/eyalw711/snapshot-positioning)|\n", "2102.02802": "|[federated mmwave beam selection utilizing lidar data](https://arxiv.org/abs/2102.02802)|[ITU_Beam_Selection_TF](https://github.com/galidor/ITU_Beam_Selection_TF)|\n", "2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable 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surface-assisted multi-user communications](https://arxiv.org/abs/2009.01423)|[CDRN-channel-estimation-IRS](https://github.com/XML124/CDRN-channel-estimation-IRS)|\n", "2011.03414": "|[robust enf estimation based on harmonic enhancement and maximum weight clique](https://arxiv.org/abs/2011.03414)|[ENF-WHU-Dataset](https://github.com/ghuawhu/ENF-WHU-Dataset)|\n", "2104.07963": "|[opencsi: an open-source dataset for indoor localization using csi-based fingerprinting](https://arxiv.org/abs/2104.07963)|[thymio-radio-map](https://github.com/arthurgassner/thymio-radio-map)|\n", "2108.00506": "|[a scalable federated multi-agent architecture for networked connected communication network](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n", "2108.00640": "|[few-shot calibration of low-cost air pollution (pm2.5) sensors using 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approach](https://arxiv.org/abs/2104.06307)|[DTL-FDIA-TSG](https://github.com/599143868/DTL-FDIA-TSG)|\n", "2108.03569": "|[deep single shot musical instrument identification using scalograms](https://arxiv.org/abs/2108.03569)|[deep-single-shot-musical-instrument-identificationusing-time-frequency-localized-features](https://github.com/dibakar1/deep-single-shot-musical-instrument-identificationusing-time-frequency-localized-features)|\n", "2108.03576": "|[beatnet: crnn and particle filtering for online joint beat downbeat and meter tracking](https://arxiv.org/abs/2108.03576)|[beatnet](https://github.com/mjhydri/beatnet)|\n"}, "2021-08-11": {"2104.04757": "|[adversarially-trained nonnegative matrix factorization](https://arxiv.org/abs/2104.04757)|[AT_NMF](https://github.com/caiting123321/AT_NMF)|\n", "2108.04577": "|[an open framework for analyzing and modeling xr network 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bilinear generalized approximate message passing](https://arxiv.org/abs/2007.00436)|[ML-BiGAMP](https://github.com/QiuyunZou/ML-BiGAMP)|\n", "2010.12337": "|[fusion of dual spatial information for hyperspectral image classification](https://arxiv.org/abs/2010.12337)|[Fusion-of-Dual-Spatial-Information-for-Hyperspectral-Image-Classification](https://github.com/PuhongDuan/Fusion-of-Dual-Spatial-Information-for-Hyperspectral-Image-Classification)|\n"}, "2021-09-09": {"2102.11895": "|[mgait: model-based gait analysis using wearable bend and inertial sensors](https://arxiv.org/abs/2102.11895)|[mgait](https://github.com/sizhean/mgait)|\n", "2102.13604": "|[federated edge learning with misaligned over-the-air computation](https://arxiv.org/abs/2102.13604)|[MisAlignedOAC](https://github.com/lynshao/MisAlignedOAC)|\n"}, "2021-09-10": {"2005.05964": "|[deep completion autoencoders for radio map 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thresholds for arbitrary pauli noise](https://arxiv.org/abs/1910.00471)|[graph-states-coherent-info](https://github.com/felixled/graph-states-coherent-info)|\n", "2006.10189": "|[revisiting minimum description length complexity in overparameterized models](https://arxiv.org/abs/2006.10189)|[mdl-complexity](https://github.com/csinva/mdl-complexity)|\n"}, "2021-09-29": {"2010.16297": "|[robust localization in wireless networks from corrupted signals](https://arxiv.org/abs/2010.16297)|[RobustLocalization](https://github.com/Muhammad-Osama/RobustLocalization)|\n", "2102.02898": "|[cobiveco: consistent biventricular coordinates for precise and intuitive description of position in the heart -- with matlab implementation](https://arxiv.org/abs/2102.02898)|[Cobiveco](https://github.com/KIT-IBT/Cobiveco)|\n"}, "2021-09-30": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n"}, "2021-10-01": {"2007.11482": "|[multi-reference alignment in high dimensions: sample complexity and phase transition](https://arxiv.org/abs/2007.11482)|[high-dimensional-mra-bounds](https://github.com/TamirBendory/high-dimensional-mra-bounds)|\n", "2104.01912": "|[multi-ris-aided wireless systems: statistical characterization and performance analysis](https://arxiv.org/abs/2104.01912)|[Multi-RIS](https://github.com/trinhudo/Multi-RIS)|\n", "2109.15136": "|[transfer learning based multi-objective evolutionary algorithm for community detection of dynamic complex 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radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n", "2110.06139": "|[classification of anomalous gait using machine learning techniques and embedded sensors](https://arxiv.org/abs/2110.06139)|[HumanGait](https://github.com/rTiagoS/HumanGait)|\n", "2110.05587": "|[evaluation of latent space disentanglement in the presence of interdependent attributes](https://arxiv.org/abs/2110.05587)|[dependency-aware-mi-metrics](https://github.com/karnwatcharasupat/dependency-aware-mi-metrics)|\n", "2110.05649": "|[learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection](https://arxiv.org/abs/2110.05649)|[lrpca](https://github.com/caesarcai/lrpca)|\n", "2110.05794": "|[information theoretic structured generative modeling](https://arxiv.org/abs/2110.05794)|[structured-generative-modeling](https://github.com/bohu615/structured-generative-modeling)|\n"}, "2021-10-14": {"2104.07388": "|[conditional independence for pretext task selection in self-supervised speech representation learning](https://arxiv.org/abs/2104.07388)|[Pseudo-Label-Selection](https://github.com/salah-zaiem/Pseudo-Label-Selection)|\n", "2110.06440": "|[sdr -- medium rare with fast computations](https://arxiv.org/abs/2110.06440)|[fast_bss_eval](https://github.com/fakufaku/fast_bss_eval)|\n", "2110.06661": "|[a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces](https://arxiv.org/abs/2110.06661)|[nearfield-primer](https://github.com/emilbjornson/nearfield-primer)|\n", "2110.06838": "|[full-stack comparison of channel models for networks above 100 ghz in an indoor scenario](https://arxiv.org/abs/2110.06838)|[thz-mmnets-2021](https://github.com/signetlabdei/thz-mmnets-2021)|\n"}, "2021-10-15": {"2105.13667": "|[grouped variable selection for generalized eigenvalue problems](https://arxiv.org/abs/2105.13667)|[benchmarkStudySensorSelection](https://github.com/AlexanderBertrandLab/benchmarkStudySensorSelection)|\n", "2110.07308": "|[node-screening tests for l0-penalized least-squares problem with supplementary material](https://arxiv.org/abs/2110.07308)|[bnb-screening](https://gitlab.insa-rennes.fr/Theo.Guyard/bnb-screening)|\n", "2110.07471": "|[stability analysis of unfolded wmmse for power allocation](https://arxiv.org/abs/2110.07471)|[stability-uwmmse](https://github.com/archo48/stability-uwmmse)|\n", "2110.07570": "|[smgc: a complex-valued graph convolutional network via magnetic laplacian for directed graphs](https://arxiv.org/abs/2110.07570)|[MGCs](https://github.com/hazdzz/MGCs)|\n", 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masses](https://arxiv.org/abs/2108.10335)|[esr](https://github.com/pnavarre/esr)|\n"}, "2021-10-19": {"1903.02184": "|[learning how to demodulate from few pilots via meta-learning](https://arxiv.org/abs/1903.02184)|[meta-demodulator](https://github.com/kclip/meta-demodulator)|\n", "1906.04529": "|[localized fourier analysis for graph signal processing](https://arxiv.org/abs/1906.04529)|[loclets](https://bitbucket.org/batistbucket/loclets)|\n", "2110.09005": "|[unsupervised learned kalman filtering](https://arxiv.org/abs/2110.09005)|[Unsupervised_ICASSP22](https://github.com/KalmanNet/Unsupervised_ICASSP22)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2021-10-20": {"2102.04170": "|[learning task-oriented communication for edge inference: an information bottleneck approach](https://arxiv.org/abs/2102.04170)|[VL-VFE](https://github.com/shaojiawei07/VL-VFE)|\n", "2107.04174": "|[easycom: an augmented reality dataset to support algorithms for easy communication in noisy environments](https://arxiv.org/abs/2107.04174)|[EasyComDataset](https://github.com/facebookresearch/EasyComDataset)|\n", "2110.09541": "|[wideband and entropy-aware deep soft bit quantization](https://arxiv.org/abs/2110.09541)|[wideband-llr-deep](https://github.com/utcsilab/wideband-llr-deep)|\n", "2110.09807": "|[learning to learn graph topologies](https://arxiv.org/abs/2110.09807)|[l2g-neurips2021](https://github.com/xpuoxford/l2g-neurips2021)|\n", "2110.09626": "|[a cautionary tale on fitting decision trees to data from additive models: generalization lower bounds](https://arxiv.org/abs/2110.09626)|[additive_trees](https://github.com/aagarwal1996/additive_trees)|\n"}, "2021-10-21": {}, "2021-10-22": {"1908.09049": "|[learning to demodulate from few pilots via offline and online meta-learning](https://arxiv.org/abs/1908.09049)|[meta-demodulator](https://github.com/kclip/meta-demodulator)|\n", "1910.09945": "|[meta-learning to communicate: fast end-to-end training for fading channels](https://arxiv.org/abs/1910.09945)|[meta-autoencoder](https://github.com/kclip/meta-autoencoder)|\n", "2003.01479": "|[end-to-end fast training of communication links without a channel model via online meta-learning](https://arxiv.org/abs/2003.01479)|[meta-autoencoder-without-channel-model](https://github.com/kclip/meta-autoencoder-without-channel-model)|\n", "2105.04040": "|[truly shift-equivariant convolutional neural networks with adaptive polyphase 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incentivized exploration from decentralized learning agents](https://arxiv.org/abs/2110.14628)|[observe_then_incentivize](https://github.com/shengroup/observe_then_incentivize)|\n"}, "2021-10-29": {"2102.13284": "|[nch sleep databank: a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "1910.00471": "|[error thresholds for arbitrary pauli noise](https://arxiv.org/abs/1910.00471)|[graph-states-coherent-info](https://github.com/felixled/graph-states-coherent-info)|\n", "2109.05378": "|[modelling the utility of group testing for public health 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identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2111.01692": "|[efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging](https://arxiv.org/abs/2111.01692)|[dugh-neurips-2021](https://github.com/alihashemi-ai/dugh-neurips-2021)|\n"}, "2021-11-04": {"2101.03792": "|[diagnosis of intelligent reflecting surface in millimeter-wave communication systems](https://arxiv.org/abs/2101.03792)|[IRSdiagnosis](https://github.com/DestinationSR/IRSdiagnosis)|\n"}, "2021-11-05": {"2111.02561": "|[maus: a dataset for mental workload assessmenton n-back task using wearable sensor](https://arxiv.org/abs/2111.02561)|[MAUS_dataset_baseline_system](https://github.com/rickwu11/MAUS_dataset_baseline_system)|\n", "2105.03925": "|[on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations](https://arxiv.org/abs/2105.03925)|[information-density](https://gitlab.com/infth/information-density)|\n", "2107.01952": "|[partition and code: learning how to compress graphs](https://arxiv.org/abs/2107.01952)|[PnC](https://github.com/gbouritsas/PnC)|\n"}, "2021-11-06": {}, "2021-11-08": {"2010.11347": "|[correlation-aware cooperative multigroup broadcast 360{\\deg} video delivery network: a hierarchical deep reinforcement learning approach](https://arxiv.org/abs/2010.11347)|[Hierarchical-Multi-agent-DRL-with-Federated-Learning](https://github.com/paperflight/Hierarchical-Multi-agent-DRL-with-Federated-Learning)|\n", "2106.13358": "|[scalable perception-action-communication loops with convolutional and graph neural networks](https://arxiv.org/abs/2106.13358)|[VGAI](https://github.com/VITA-Group/VGAI)|\n", "2108.00506": "|[scalable multi-agent reinforcement learning algorithm for wireless networks](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n", "2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2111.03504": "|[deep-learning based linear precoding for mimo channels with finite-alphabet signaling](https://arxiv.org/abs/2111.03504)|[optimalprecodingmimo](https://github.com/girnyk/optimalprecodingmimo)|\n"}, "2021-11-07": {}, "2021-11-10": {"2102.02993": "|[lord-net: unfolded deep detection network with low-resolution receivers](https://arxiv.org/abs/2102.02993)|[LoRD-Net](https://github.com/skhobahi/LoRD-Net)|\n", "2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl 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circuits?](https://arxiv.org/abs/2111.05299)|[ann-info-flow](https://github.com/praveenv253/ann-info-flow)|\n"}, "2021-11-09": {"2008.05948": "|[estimating the magnitude and phase of automotive radar signals under multiple interference sources with fully convolutional networks](https://arxiv.org/abs/2008.05948)|[arim-v2](https://github.com/ristea/arim-v2)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n", "2111.04566": "|[rf-net: a unified meta-learning framework for rf-enabled one-shot human activity recognition](https://arxiv.org/abs/2111.04566)|[rfnet](https://github.com/di0002ya/rfnet)|\n", 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optimization for online tensor completion and tracking with the t-svd](https://arxiv.org/abs/2001.11419)|[TOUCAN](https://github.com/kgilman/TOUCAN)|\n", "2102.10666": "|[electromagnetic model of reflective intelligent surfaces](https://arxiv.org/abs/2102.10666)|[Intelligent-Surfaces](https://github.com/MicheleBorgese/Intelligent-Surfaces)|\n", "2107.06678": "|[optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2111.07017": "|[delay-oriented distributed scheduling using graph neural networks](https://arxiv.org/abs/2111.07017)|[gcn-dql](https://github.com/zhongyuanzhao/gcn-dql)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.07480": "|[power allocation for wireless federated learning using graph neural networks](https://arxiv.org/abs/2111.07480)|[wirelessfl-pdgnet](https://github.com/bl166/wirelessfl-pdgnet)|\n", "1804.00486": "|[benefit of joint doa and delay estimation with application to indoor localization in wifi and 5g](https://arxiv.org/abs/1804.00486)|[jade](https://github.com/fwen/jade)|\n", "2012.05549": "|[categorical perception: a groundwork for deep learning](https://arxiv.org/abs/2012.05549)|[categorical_perception_ann_neco](https://github.com/l-bg/categorical_perception_ann_neco)|\n", "2111.06999": "|[quasifibrations of graphs to find symmetries in biological networks](https://arxiv.org/abs/2111.06999)|[qf](https://github.com/boldip/qf)|\n"}, "2021-11-17": {"2102.10172": "|[channel estimation and data detection analysis of massive mimo with 1-bit adcs](https://arxiv.org/abs/2102.10172)|[ch_est_data_det_1-bit](https://github.com/italo-atzeni/ch_est_data_det_1-bit)|\n", "2104.06706": "|[towards off-the-grid algorithms for total variation regularized inverse problems](https://arxiv.org/abs/2104.06706)|[tvsfw](https://github.com/rpetit/tvsfw)|\n", "2110.03666": "|[joint inference of multiple graphs with hidden variables from stationary graph signals](https://arxiv.org/abs/2110.03666)|[hidden_joint_inference](https://github.com/reysam93/hidden_joint_inference)|\n", "2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[r-local-unlabeled-sensing](https://github.com/aabbas02/r-local-unlabeled-sensing)|\n", "2111.08177": "|[deep diffusion models for robust channel estimation](https://arxiv.org/abs/2111.08177)|[diffusion-channels](https://github.com/utcsilab/diffusion-channels)|\n"}, "2021-11-18": {"2104.14579": "|[lidar and position-aided mmwave beam selection with non-local cnns and curriculum training](https://arxiv.org/abs/2104.14579)|[LIDAR-mmWave-Beam-Selection](https://github.com/MatteoEURECOM/LIDAR-mmWave-Beam-Selection)|\n", "2106.10307": "|[deep learning based mac via joint channel access and rate adaptation](https://arxiv.org/abs/2106.10307)|[Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset](https://github.com/postman511/Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset)|\n"}, "2021-11-19": {"2105.03061": "|[deep reinforcement learning-designed radiofrequency waveform in mri](https://arxiv.org/abs/2105.03061)|[deeprf](https://github.com/snu-list/deeprf)|\n", "2107.01849": "|[integrating expert knowledge with domain adaptation for unsupervised fault diagnosis](https://arxiv.org/abs/2107.01849)|[syn2real](https://github.com/qinenergy/syn2real)|\n"}, "2021-11-20": {}, "2021-11-21": {}, "2021-11-22": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2111.10087": "|[beamforming using digital piezoelectric mems microphone array](https://arxiv.org/abs/2111.10087)|[vm3000-microphones](https://github.com/uwasystemhealth/vm3000-microphones)|\n", "2103.02700": "|[decoding supercodes of gabidulin codes and applications to cryptanalysis](https://arxiv.org/abs/2103.02700)|[Attack_on_LIGA](https://github.com/mbombar/Attack_on_LIGA)|\n", "2111.08843": "|[error coefficient-reduced polar/pac codes](https://arxiv.org/abs/2111.08843)|[Error-Coefficient-reduced-Polar-PAC-Codes](https://github.com/mohammad-rowshan/Error-Coefficient-reduced-Polar-PAC-Codes)|\n"}, "2021-11-23": {"1912.12528": "|[applications of unsupervised deep transfer learning to intelligent fault diagnosis: a survey and comparative study](https://arxiv.org/abs/1912.12528)|[UDTL](https://github.com/ZhaoZhibin/UDTL)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.10596": "|[semi-supervised impedance inversion by bayesian neural network based on 2-d cnn pre-training](https://arxiv.org/abs/2111.10596)|[bayesian-semi-supervised-impedance-inversion](https://github.com/tom-900/bayesian-semi-supervised-impedance-inversion)|\n", "2005.08797": "|[variational quantum gibbs state preparation with a truncated taylor series](https://arxiv.org/abs/2005.08797)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-11-24": {"2104.14526": "|[scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements](https://arxiv.org/abs/2104.14526)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2111.01692": "|[efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging](https://arxiv.org/abs/2111.01692)|[dugh-neurips-2021](https://github.com/alihashemi-ai/dugh-neurips-2021)|\n", "2111.11482": "|[graph neural networks with parallel neighborhood aggregations for graph classification](https://arxiv.org/abs/2111.11482)|[spin](https://github.com/siddhant-doshi/spin)|\n"}, "2021-11-25": {"2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n", "2111.12148": "|[machine learning based forward solver: an automatic framework in gprmax](https://arxiv.org/abs/2111.12148)|[gprMax](https://github.com/utsav-akhaury/gprMax)|\n", "2111.12429": "|[tsflex: flexible time series processing & feature extraction](https://arxiv.org/abs/2111.12429)|[tsflex](https://github.com/predict-idlab/tsflex)|\n", "2111.12604": "|[state-space deep gaussian processes with applications](https://arxiv.org/abs/2111.12604)|[dissertation](https://github.com/zgbkdlm/dissertation)|\n", "2102.09159": "|[robust and differentially private mean estimation](https://arxiv.org/abs/2102.09159)|[robust_dp](https://github.com/xiyangl3/robust_dp)|\n"}, "2021-11-26": {}, "2021-11-27": {}, "2021-11-28": {}, "2021-11-29": {"1907.10709": "|[automatic crack classification by exploiting statistical event descriptors for deep learning](https://arxiv.org/abs/1907.10709)|[deeplearning_crack_classification](https://github.com/giuliosiracusano/deeplearning_crack_classification)|\n", "2111.12925": "|[contourletnet: a generalized rain removal architecture using multi-direction hierarchical representation](https://arxiv.org/abs/2111.12925)|[contourletnet-bmvc2021](https://github.com/cctakaet/contourletnet-bmvc2021)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n"}, "2021-11-30": {"1901.07915": "|[iclabel: an automated electroencephalographic independent component classifier, dataset, and website](https://arxiv.org/abs/1901.07915)|[ICLabel-Train](https://github.com/lucapton/ICLabel-Train)|\n", "2104.13069": "|[visualization of linear operations in the spherical harmonics domain](https://arxiv.org/abs/2104.13069)|[visualization-of-sh-domain-operations](https://github.com/iksrwth/visualization-of-sh-domain-operations)|\n", "2107.14367": "|[opensync: an opensource platform for synchronizing multiple measures in neuroscience experiments](https://arxiv.org/abs/2107.14367)|[OpenSync_Unity](https://github.com/moeinrazavi/OpenSync_Unity)|\n", "2111.13984": "|[ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning](https://arxiv.org/abs/2111.13984)|[ncvx](https://github.com/sun-umn/ncvx)|\n", "2105.04453": "|[neural computation of capacity region of memoryless multiple access channels](https://arxiv.org/abs/2105.04453)|[Neural-Capacity-Computation](https://github.com/Farhad-Mrkm/Neural-Capacity-Computation)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[ReduNet](https://github.com/Ma-Lab-Berkeley/ReduNet)|\n"}, "2021-12-01": {"2111.14960": "|[validating circacp: a generic sleep-wake cycle detection algorithm](https://arxiv.org/abs/2111.14960)|[circacp](https://github.com/shanshanchen-biostat/circacp)|\n", "2111.15378": "|[clustering-based activity detection algorithms for grant-free random access in cell-free massive mimo](https://arxiv.org/abs/2111.15378)|[grant-free](https://github.com/emilbjornson/grant-free)|\n", "2111.15569": "|[scalable machine learning architecture for neonatal seizure detection on ultra-edge devices](https://arxiv.org/abs/2111.15569)|[NeonatalSeizureDetection](https://github.com/vishaln15/NeonatalSeizureDetection)|\n", "1809.00964": "|[mathematical models for fake news](https://arxiv.org/abs/1809.00964)|[Fake_News](https://github.com/dmmeier/Fake_News)|\n"}, "2021-12-02": {"1906.04529": "|[localized fourier analysis for graph signal processing](https://arxiv.org/abs/1906.04529)|[loclets](https://bitbucket.org/batistbucket/loclets)|\n", "2101.03468": "|[heppcat: probabilistic pca for data with heteroscedastic noise](https://arxiv.org/abs/2101.03468)|[heteroscedastic-probabilistic-pca](https://gitlab.com/heppcat-group/heteroscedastic-probabilistic-pca)|\n", "2111.15662": "|[hottbox: higher order tensor toolbox](https://arxiv.org/abs/2111.15662)|[hottbox](https://github.com/hottbox/hottbox)|\n", "2112.00695": "|[deepaoanet: learning angle of arrival from software defined radios with deep neural networks](https://arxiv.org/abs/2112.00695)|[deepaoanet](https://github.com/zdai257/deepaoanet)|\n"}, "2021-12-03": {"2105.11689": "|[self-supervised graph representation learning via topology transformations](https://arxiv.org/abs/2105.11689)|[topo-ter](https://github.com/gyshgx868/topo-ter)|\n", "2112.00989": "|[embedding decomposition for artifacts removal in eeg signals](https://arxiv.org/abs/2112.00989)|[deepseparator](https://github.com/ncclabsustech/deepseparator)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n"}, "2021-12-04": {}, "2021-12-05": {}, "2021-12-06": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n", "2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2112.01857": "|[disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to 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shift-equivariant convolutional neural networks with adaptive polyphase upsampling](https://arxiv.org/abs/2105.04040)|[truly_shift_invariant_cnns](https://github.com/achaman2/truly_shift_invariant_cnns)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n"}, "2021-12-09": {"2110.06661": "|[a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces](https://arxiv.org/abs/2110.06661)|[nearfield-primer](https://github.com/emilbjornson/nearfield-primer)|\n", "2112.04176": "|[mobile bci dataset of scalp- and ear-eegs with erp and ssvep paradigms while standing, walking, and running](https://arxiv.org/abs/2112.04176)|[mobilebci_data](https://github.com/youngeun1209/mobilebci_data)|\n", "2112.04369": "|[adaptive r-peak detection on wearable ecg sensors for high-intensity 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sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2107.05262": "|[dihedral multi-reference alignment](https://arxiv.org/abs/2107.05262)|[DihedralMRA](https://github.com/nirsharon/DihedralMRA)|\n", "2201.00650": "|[deep learning interviews: hundreds of fully solved job interview questions from a wide range of key topics in ai](https://arxiv.org/abs/2201.00650)|[interviews.ai](https://github.com/BoltzmannEntropy/interviews.ai)|\n"}, "2022-01-06": {"2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage 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retrieval](https://arxiv.org/abs/2102.00927)|[tls_phase](https://github.com/swing-research/tls_phase)|\n", "2102.10506": "|[practical graph signal sampling with log-linear size scaling](https://arxiv.org/abs/2102.10506)|[graph-signal-sampling-avm](https://github.com/stac-usc/graph-signal-sampling-avm)|\n", "2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2110.05588": "|[deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering](https://arxiv.org/abs/2110.05588)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n", "2202.00569": "|[arrhythmia classification using cgan-augmented ecg 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multiplication over complex numbers](https://arxiv.org/abs/2202.03352)|[sdmm-over-complex](https://github.com/okkomakkonen/sdmm-over-complex)|\n"}, "2022-02-09": {"2011.08562": "|[a deep neural network for ssvep-based brain-computer interfaces](https://arxiv.org/abs/2011.08562)|[Deep-SSVEP-BCI](https://github.com/osmanberke/Deep-SSVEP-BCI)|\n", "2110.04717": "|[rtsnet: deep learning aided kalman smoothing](https://arxiv.org/abs/2110.04717)|[rtsnet_icassp22](https://github.com/kalmannet/rtsnet_icassp22)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2202.03875": "|[unsupervised source separation via self-supervised training](https://arxiv.org/abs/2202.03875)|[mixcycle](https://github.com/ertug/mixcycle)|\n"}, 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sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[proximal-alt-min-for-uls-udgp](https://github.com/aabbas02/proximal-alt-min-for-uls-udgp)|\n", "2111.08177": "|[score-based generative models for robust channel estimation](https://arxiv.org/abs/2111.08177)|[diffusion-channels](https://github.com/utcsilab/diffusion-channels)|\n", "2202.03224": "|[hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series](https://arxiv.org/abs/2202.03224)|[f1fashiondataset](https://github.com/etidav/f1fashiondataset)|\n", "2202.00964": "|[understanding knowledge integration in language models with graph convolutions](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n"}, "2022-02-17": {"2110.03691": "|[direct design of biquad filter cascades with deep learning by sampling random polynomials](https://arxiv.org/abs/2110.03691)|[iirnet](https://github.com/csteinmetz1/iirnet)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2202.07884": "|[deep-learning-assisted configuration of reconfigurable intelligent surfaces in dynamic rich-scattering environments](https://arxiv.org/abs/2202.07884)|[deep_ris_tuning_for_rich_scattering_environments](https://github.com/noesyslab/deep_ris_tuning_for_rich_scattering_environments)|\n", "2202.07895": "|[enhancing causal estimation through unlabeled offline data](https://arxiv.org/abs/2202.07895)|[enhancing-causal-estimations](https://github.com/ronteichner/enhancing-causal-estimations)|\n"}, "2022-02-18": {"1911.03314": "|[fann-on-mcu: an open-source toolkit for energy-efficient neural network inference at the edge of the internet of 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classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2111.00704": "|[a novel 1d state space for efficient music rhythmic analysis](https://arxiv.org/abs/2111.00704)|[1d-statespace](https://github.com/mjhydri/1d-statespace)|\n", "2112.00989": "|[embedding decomposition for artifacts removal in eeg signals](https://arxiv.org/abs/2112.00989)|[deepseparator](https://github.com/ncclabsustech/deepseparator)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n", "2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy 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communication signals with unsupervised generative adversarial networks](https://arxiv.org/abs/2109.05107)|[ofdm-gan](https://github.com/usnistgov/ofdm-gan)|\n", "2202.06948": "|[towards best practice of interpreting deep learning models for eeg-based brain computer interfaces](https://arxiv.org/abs/2202.06948)|[Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI](https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n"}, "2022-02-23": {"2007.11869": "|[an experimental mmwave channel model for uav-to-uav communications](https://arxiv.org/abs/2007.11869)|[uav-to-uav-60-ghz-channel-model](https://github.com/wineslab/uav-to-uav-60-ghz-channel-model)|\n", "2108.02541": "|[foundations of user-centric cell-free massive mimo](https://arxiv.org/abs/2108.02541)|[cell-free-book](https://github.com/emilbjornson/cell-free-book)|\n", "2111.04433": "|[rawboost: a raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing](https://arxiv.org/abs/2111.04433)|[RawBoost-antispoofing](https://github.com/TakHemlata/RawBoost-antispoofing)|\n", "2106.14866": "|[learning from an exploring demonstrator: optimal reward estimation for bandits](https://arxiv.org/abs/2106.14866)|[inverse-bandit-code-release](https://github.com/wenshuoguo/inverse-bandit-code-release)|\n", "2202.11042": "|[fasura: a scheme for quasi-static massive mimo unsourced random access 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grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[MLOPF.jl](https://github.com/tdfalc/MLOPF.jl)|\n", "2112.02890": "|[a fast and scalable polyatomic frank-wolfe algorithm for the lasso](https://arxiv.org/abs/2112.02890)|[PolyatomicFW_SPL](https://github.com/AdriaJ/PolyatomicFW_SPL)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2203.00952": "|[sketched rt3d: how to reconstruct billions of photons per second](https://arxiv.org/abs/2203.00952)|[real-time-sp-lidar](https://gitlab.com/tachella/real-time-sp-lidar)|\n"}, "2022-03-04": {"2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n"}, 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signal processing perspective with wireless applications](https://arxiv.org/abs/2102.00742)|[spm_ris](https://github.com/emilbjornson/spm_ris)|\n", "2110.06048": "|[the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control](https://arxiv.org/abs/2110.06048)|[tknock](https://github.com/jasinmachkour/tknock)|\n", "2201.04756": "|[roadside lidar vehicle detection and tracking using range and intensity background subtraction](https://arxiv.org/abs/2201.04756)|[roadside-lidar-vehicle-detection-and-tracking-background-subtraction](https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction)|\n", "2007.06795": "|[coding theory package for macaulay2](https://arxiv.org/abs/2007.06795)|[Workshop-2020-Cleveland](https://github.com/Macaulay2/Workshop-2020-Cleveland)|\n", "2110.05794": "|[information theoretic structured generative 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unsupervised framework for learning to image from noisy and partial measurements](https://arxiv.org/abs/2111.12855)|[rei](https://github.com/edongdongchen/rei)|\n", "2111.11632": "|[lossless compression with probabilistic circuits](https://arxiv.org/abs/2111.11632)|[pressedjuice.jl](https://github.com/juice-jl/pressedjuice.jl)|\n"}, "2022-03-18": {"2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n"}, "2022-03-19": {}, "2022-03-20": {}, "2022-03-21": {"2203.06889": "|[lead-agnostic self-supervised learning for local and global representations of electrocardiogram](https://arxiv.org/abs/2203.06889)|[fairseq-signals](https://github.com/jwoo5/fairseq-signals)|\n", "2203.09693": "|[generative principal component 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classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2203.11854": "|[sionna: an open-source library for next-generation physical layer research](https://arxiv.org/abs/2203.11854)|[sionna](https://github.com/nvlabs/sionna)|\n"}, "2022-03-24": {"2105.02786": "|[lggnet: learning from local-global-graph representations for brain-computer interface](https://arxiv.org/abs/2105.02786)|[LGG](https://github.com/yi-ding-cs/LGG)|\n", "2203.09723": "|[estimation of consistent time delays in subsample via auxiliary-function-based iterative updates](https://arxiv.org/abs/2203.09723)|[auxtde](https://github.com/onolab-tmu/auxtde)|\n", "2203.12590": "|[transsleep: transitioning-aware attention-based deep neural network for sleep 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neural networks for control oriented thermal modeling of buildings](https://arxiv.org/abs/2111.12066)|[physnet_thermal_models](https://github.com/gargyagokhale/physnet_thermal_models)|\n", "2203.15147": "|[separate what you describe: language-queried audio source separation](https://arxiv.org/abs/2203.15147)|[lass](https://github.com/liuxubo717/lass)|\n", "2203.15250": "|[analysis of eeg frequency bands for envisioned speech recognition](https://arxiv.org/abs/2203.15250)|[imaginedspeechrecognition](https://github.com/ayushayt/imaginedspeechrecognition)|\n", "2203.15488": "|[over-the-air federated learning via second-order optimization](https://arxiv.org/abs/2203.15488)|[AirFL-2nd](https://github.com/Golden-Slumber/AirFL-2nd)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple 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message-passing algorithm](https://arxiv.org/abs/2112.13079)|[graph_alignment](https://github.com/giovannipiccioli/graph_alignment)|\n"}, "2022-05-06": {"2106.09327": "|[minimax estimation of partially-observed vector autoregressions](https://arxiv.org/abs/2106.09327)|[POVAR.jl](https://github.com/gdalle/POVAR.jl)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-05-07": {}, "2022-05-08": {}, "2022-05-09": {"2104.05614": "|[a dynamic response recovery framework using ambient synchrophasor data](https://arxiv.org/abs/2104.05614)|[dy_resp_pkg_new](https://github.com/ShaohuiLiu/dy_resp_pkg_new)|\n", "2105.13585": "|[information fragmentation, encryption and information flow in complex biological 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two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2202.03129": "|[over-the-air ensemble inference with model privacy](https://arxiv.org/abs/2202.03129)|[oac-based-private-ensembles](https://github.com/selimfirat/oac-based-private-ensembles)|\n", "2103.00078": "|[recovering or testing extended-affine equivalence](https://arxiv.org/abs/2103.00078)|[EA_equivalence_for_quadratic_functions](https://github.com/alaincouvreur/EA_equivalence_for_quadratic_functions)|\n", "2111.08159": "|[hybrid beam alignment for multi-path channels: a group testing viewpoint](https://arxiv.org/abs/2111.08159)|[beamforming](https://github.com/ozleemyildiz/beamforming)|\n", "2202.03352": "|[analog secure distributed matrix multiplication over complex numbers](https://arxiv.org/abs/2202.03352)|[sdmm-over-complex](https://github.com/okkomakkonen/sdmm-over-complex)|\n", 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vital sign trajectories from covid-19 patients](https://arxiv.org/abs/2207.07572)|[outlier-detection-recap-data](https://github.com/sara-es/outlier-detection-recap-data)|\n"}, "2022-07-19": {"2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2206.08703": "|[plotly-resampler: effective visual analytics for large time series](https://arxiv.org/abs/2206.08703)|[plotly-resampler](https://github.com/predict-idlab/plotly-resampler)|\n", "2207.07773": "|[segment-level metric learning for few-shot bioacoustic event detection](https://arxiv.org/abs/2207.07773)|[dcase_2022_task_5](https://github.com/haoheliu/dcase_2022_task_5)|\n", "2207.07859": "|[deep learning and its applications to wifi human sensing: a benchmark and a 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programming](https://arxiv.org/abs/2208.07830)|[Signal-detection-with-dynamic-programming](https://github.com/MordechaiRoth1/Signal-detection-with-dynamic-programming)|\n", "2103.07578": "|[efficient randomized subspace embeddings for distributed optimization under a communication budget](https://arxiv.org/abs/2103.07578)|[distoptconstrcomm](https://github.com/rajarshisaha95/distoptconstrcomm)|\n"}, "2022-08-18": {"2108.01360": "|[towards a better understanding human reading comprehension with brain signals](https://arxiv.org/abs/2108.01360)|[uercm](https://github.com/yeziyi1998/uercm)|\n", "2109.08170": "|[quantum message-passing algorithm for optimal and efficient decoding](https://arxiv.org/abs/2109.08170)|[quantum-message-passing-paper](https://github.com/chripiv/quantum-message-passing-paper)|\n"}, "2022-08-19": {"2202.13757": "|[fast off-the-grid sparse recovery with over-parametrized projected gradient 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environments](https://arxiv.org/abs/2206.07784)|[multiple-timeseries-forecasting](https://github.com/pcharala/multiple-timeseries-forecasting)|\n", "2207.07466": "|[towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[dsfrance](https://github.com/gabrielkasmi/dsfrance)|\n", "2209.01180": "|[software tools for decoding quantum low-density parity check codes](https://arxiv.org/abs/2209.01180)|[qecc](https://github.com/lucasberent/qecc)|\n"}, "2022-09-06": {}, "2022-09-07": {"2201.02693": "|[bottlefit: learning compressed representations in deep neural networks for effective and efficient split computing](https://arxiv.org/abs/2201.02693)|[bottlefit-split_computing](https://github.com/yoshitomo-matsubara/bottlefit-split_computing)|\n", "2208.08342": "|[semantic communications with discrete-time analog transmission: a papr 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modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[mt3scm](https://github.com/jokonu/mt3scm)|\n", "2208.10384": "|[the optimality of word lengths. theoretical foundations and an empirical study](https://arxiv.org/abs/2208.10384)|[iql-research-project-21-22](https://github.com/iql-course/iql-research-project-21-22)|\n"}, "2022-09-13": {"2112.04369": "|[adaptive r-peak detection on wearable ecg sensors for high-intensity exercise](https://arxiv.org/abs/2112.04369)|[adaptive_rpeak_det_public](https://c4science.ch/source/adaptive_rpeak_det_public)|\n", "2208.03118": "|[a design of low-projection scma codebooks for ultra-low decoding complexity in downlink iot networks](https://arxiv.org/abs/2208.03118)|[scma-codebook](https://github.com/ethanlq/scma-codebook)|\n", "2209.04871": "|[data-driven blind synchronization and interference rejection for digital communication 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networks](https://arxiv.org/abs/2005.01669)|[PPG2ABP](https://github.com/nibtehaz/PPG2ABP)|\n", "2011.03466": "|[real-time noise cancellation with deep learning](https://arxiv.org/abs/2011.03466)|[deepNeuronalFilter](https://github.com/berndporr/deepNeuronalFilter)|\n", "2106.10108": "|[under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2209.12638": "|[bounded simplex-structured matrix factorization](https://arxiv.org/abs/2209.12638)|[bssmf.jl](https://gitlab.com/vuthanho/bssmf.jl)|\n", "2104.00861": "|[poisson phase retrieval in very low-count 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abstraction](https://arxiv.org/abs/2209.15195)|[rf-transformer](https://github.com/lefscc/rf-transformer)|\n", "2209.15223": "|[astf: visual abstractions of time-varying patterns in radio signals](https://arxiv.org/abs/2209.15223)|[astf](https://github.com/csuvis/astf)|\n", "2209.15614": "|[tinyturbo: efficient turbo decoders on edge](https://arxiv.org/abs/2209.15614)|[tinyturbo](https://github.com/hebbarashwin/tinyturbo)|\n", "2012.04524": "|[construction of optimal spectral methods in phase retrieval](https://arxiv.org/abs/2012.04524)|[Optimal_Spectral_Methods_PR](https://github.com/AnMaillard/Optimal_Spectral_Methods_PR)|\n", "2203.07752": "|[optimal denoising of rotationally invariant rectangular matrices](https://arxiv.org/abs/2203.07752)|[rectangular_rie](https://github.com/penombraet/rectangular_rie)|\n", "2209.15594": "|[self-stabilization: the implicit bias of gradient descent at the edge of 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wireless communications](https://arxiv.org/abs/2210.02596)|[DL-DSC-FDD-Massive-MIMO](https://github.com/foadsohrabi/DL-DSC-FDD-Massive-MIMO)|\n", "2210.03067": "|[few-shot calibration of set predictors via meta-learned cross-validation-based conformal prediction](https://arxiv.org/abs/2210.03067)|[meta-xb](https://github.com/kclip/meta-xb)|\n", "2107.02027": "|[efficient sequence packing without cross-contamination: accelerating large language models without impacting performance](https://arxiv.org/abs/2107.02027)|[packedBERT](https://github.com/graphcore/tutorials/tree/sdk-release-2.1/blogs_code/packedBERT)|\n", "2207.06374": "|[grassmannian packings: trust-region stochastic tuning for matrix incoherence](https://arxiv.org/abs/2207.06374)|[trstmi](https://github.com/josiahpark/trstmi)|\n", "2210.02672": "|[orthogonal non-negative matrix factorization: a maximum-entropy-principle 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learning-based open science tool for closed-loop brain stimulation](https://arxiv.org/abs/2107.13473)|[portiloop](https://github.com/mistlab/portiloop)|\n", "2205.14308": "|[transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots](https://arxiv.org/abs/2205.14308)|[transferlearningbasedcebydnsp](https://github.com/leiunnn/transferlearningbasedcebydnsp)|\n", "2210.04941": "|[slurp! spectroscopy of liquids using robot pre-touch sensing](https://arxiv.org/abs/2210.04941)|[slurp_grasping](https://github.com/river-lab/slurp_grasping)|\n", "2210.05240": "|[multi-site diagnostic classification of schizophrenia using 3d cnn on aggregated task-based fmri data](https://arxiv.org/abs/2210.05240)|[Schizophrenia-Classification-from-multi-site-fMRI-data](https://github.com/s-vigneshwaran/Schizophrenia-Classification-from-multi-site-fMRI-data)|\n", "2210.05571": 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unsupervised domain adaptation in eeg](https://arxiv.org/abs/2206.01323)|[TSMNet](https://github.com/rkobler/TSMNet)|\n", "2206.08022": "|[partial identifiability for nonnegative matrix factorization](https://arxiv.org/abs/2206.08022)|[nmf-partial-identifiability](https://gitlab.com/ngillis/nmf-partial-identifiability)|\n", "2208.08155": "|[a monotonicity constrained attention module for emotion classification with limited eeg data](https://arxiv.org/abs/2208.08155)|[bci-attention](https://github.com/dykuang/bci-attention)|\n", "2210.06286": "|[self-supervised learning for label-efficient sleep stage classification: a comprehensive evaluation](https://arxiv.org/abs/2210.06286)|[eval_ssl_ssc](https://github.com/emadeldeen24/eval_ssl_ssc)|\n", "2210.06947": "|[decentralized state estimation in a dimension-reduced linear regression](https://arxiv.org/abs/2210.06947)|[dtt](https://gitlab.com/robinforsling/dtt)|\n", "2204.01105": "|[better lattice quantizers constructed from complex integers](https://arxiv.org/abs/2204.01105)|[latticequantizer](https://github.com/shx-lyu/latticequantizer)|\n", "2207.12077": "|[decision-oriented two-parameter fisher information sensitivity using symplectic decomposition](https://arxiv.org/abs/2207.12077)|[symplecticfishersensitivity](https://github.com/longitude-jyang/symplecticfishersensitivity)|\n", "2210.06591": "|[rigorous dynamical mean field theory for stochastic gradient descent methods](https://arxiv.org/abs/2210.06591)|[rigorous-dynamical-mean-field-theory](https://github.com/spoc-group/rigorous-dynamical-mean-field-theory)|\n"}, "2022-10-15": {}, "2022-10-17": {"2210.05888": "|[calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements](https://arxiv.org/abs/2210.05888)|[uwb_calibration](https://github.com/decarsg/uwb_calibration)|\n", "2210.07789": "|[i13dr: a real-time demand response infrastructure 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decomposition](https://arxiv.org/abs/2301.11450)|[smile-network-localization](https://github.com/anrgusc/smile-network-localization)|\n"}, "2023-01-31": {"2110.05266": "|[chaos as an interpretable benchmark for forecasting and data-driven modelling](https://arxiv.org/abs/2110.05266)|[dysts](https://github.com/williamgilpin/dysts)|\n", "2211.02922": "|[beyond hawkes: neural multi-event forecasting on spatio-temporal point processes](https://arxiv.org/abs/2211.02922)|[neural-spatio-temporal-probabilistic-transformers](https://github.com/negar-erfanian/neural-spatio-temporal-probabilistic-transformers)|\n", "2301.08883": "|[versatile neural processes for learning implicit neural representations](https://arxiv.org/abs/2301.08883)|[versatile-np](https://github.com/zongyuguo/versatile-np)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion 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bci system for cybathlon 2020](https://arxiv.org/abs/2212.04172)|[GoPar](https://github.com/kolcs/GoPar)|\n", "2302.00992": "|[exposing the csi: a systematic investigation of csi-based wi-fi sensing capabilities and limitations](https://arxiv.org/abs/2302.00992)|[exposing-the-csi](https://github.com/ansresearch/exposing-the-csi)|\n", "2204.01612": "|[neural estimation of the rate-distortion function with applications to operational source coding](https://arxiv.org/abs/2204.01612)|[nerd-rcc](https://github.com/leieric/nerd-rcc)|\n", "2211.02863": "|[inductive graph transformer for delivery time estimation](https://arxiv.org/abs/2211.02863)|[igt-wsdm23](https://github.com/enoche/igt-wsdm23)|\n"}, "2023-02-04": {}, "2023-02-05": {}, "2023-02-06": {"2207.08100": "|[load modulation for backscatter communication: channel capacity and capacity-approaching finite constellations](https://arxiv.org/abs/2207.08100)|[backscatteratcapacity](https://github.com/grdu/backscatteratcapacity)|\n", "2208.11333": "|[enhancing deep learning performance of massive mimo csi feedback](https://arxiv.org/abs/2208.11333)|[jpts](https://github.com/sijieji/jpts)|\n", "2302.00847": "|[low-complexity precoding for extremely large-scale mimo over non-stationary channels](https://arxiv.org/abs/2302.00847)|[Low-complexity-precoding-algorithm-for-XL-MIMO](https://github.com/bokaixu5/Low-complexity-precoding-algorithm-for-XL-MIMO)|\n", "2302.01924": "|[self-supervised enhancement of stimulus-evoked brain response data](https://arxiv.org/abs/2302.01924)|[shift_detection_icassp2023](https://github.com/exporl/shift_detection_icassp2023)|\n"}, "2023-02-07": {"2007.01228": "|[maestro-x: distributed orchestration of rotary-wing uav-relay swarms](https://arxiv.org/abs/2007.01228)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2208.12472": "|[graph-based sequential beamforming](https://arxiv.org/abs/2208.12472)|[sequentialvariationalbayesdoa](https://github.com/noiselabucsd/sequentialvariationalbayesdoa)|\n", "2302.02302": "|[achieving robust generalization for wireless channel estimation neural networks by designed training 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statistic](https://arxiv.org/abs/2302.03633)|[hobmi](https://github.com/apooja1/hobmi)|\n"}, "2023-02-09": {"1904.01775": "|[multimodal representation learning using deep multiset canonical correlation](https://arxiv.org/abs/1904.01775)|[mica-deep-mcca](https://github.com/usc-sail/mica-deep-mcca)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2302.04097": "|[astride: adaptive symbolization for time series databases](https://arxiv.org/abs/2302.04097)|[astride](https://github.com/sylvaincom/astride)|\n", "2302.04151": "|[policy evaluation in decentralized pomdps with belief sharing](https://arxiv.org/abs/2302.04151)|[decpomdp_policy_evaluation_w-belief_sharing](https://github.com/asl-epfl/decpomdp_policy_evaluation_w-belief_sharing)|\n", "2302.04215": "|[a vector quantized approach for text to speech synthesis on real-world spontaneous speech](https://arxiv.org/abs/2302.04215)|[mqtts](https://github.com/b04901014/mqtts)|\n"}, "2023-02-10": {"2302.02477": "|[offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment](https://arxiv.org/abs/2302.02477)|[vlbm](https://github.com/gaoqitong/vlbm)|\n", "2302.04368": "|[channelformer: attention based neural solution for wireless channel estimation and effective online training](https://arxiv.org/abs/2302.04368)|[Channelformer](https://github.com/dianixn/Channelformer)|\n", "2209.01180": "|[software tools for decoding quantum low-density parity check codes](https://arxiv.org/abs/2209.01180)|[qecc](https://github.com/lucasberent/qecc)|\n", "2302.04855": "|[trading information between latents in hierarchical variational autoencoders](https://arxiv.org/abs/2302.04855)|[hit](https://github.com/timxzz/hit)|\n"}, "2023-02-11": {}, "2023-02-12": {}, "2023-02-13": {"2202.10371": "|[coordinated sum-rate maximization in multicell mu-mimo with deep unrolling](https://arxiv.org/abs/2202.10371)|[gcnwmmse](https://github.com/lsky96/gcnwmmse)|\n", "2302.05151": "|[binomial line cox processes: statistical characterization and applications in wireless network analysis](https://arxiv.org/abs/2302.05151)|[blcp](https://github.com/mt19146/blcp)|\n"}, "2023-02-14": {"2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2203.14359": "|[online meta-learning for hybrid model-based deep receivers](https://arxiv.org/abs/2203.14359)|[metadeepsic](https://github.com/tomerraviv95/metadeepsic)|\n", "2205.06306": "|[probabilistic estimation of instantaneous frequencies of chirp signals](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2302.05812": "|[software-defined mimo ofdm joint radar-communication platform with fully digital mmwave architecture](https://arxiv.org/abs/2302.05812)|[gr-mimo-ofdm-jrc](https://github.com/ceyhunozkaptan/gr-mimo-ofdm-jrc)|\n", "2202.00129": "|[fundamental limits for sensor-based robot control](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n", "2301.06060": "|[crc-aided learned ensembles of belief-propagation polar decoders](https://arxiv.org/abs/2301.06060)|[polar-ensembles](https://github.com/tomerraviv95/polar-ensembles)|\n", "2302.05869": "|[efficient integer retrieving from unordered compressed sequences](https://arxiv.org/abs/2302.05869)|[directaccess](https://github.com/zavadsky/directaccess)|\n"}, "2023-02-15": {"2208.06991": "|[towards interpretable sleep stage classification using cross-modal transformers](https://arxiv.org/abs/2208.06991)|[cross-modal-transformer](https://github.com/jathurshan0330/cross-modal-transformer)|\n", "2302.06683": "|[enhancing multivariate time series classifiers through self-attention and relative positioning infusion](https://arxiv.org/abs/2302.06683)|[timeseriesclassification-tps](https://github.com/mehryar72/timeseriesclassification-tps)|\n", "2302.07153": "|[a novel poisoned water detection method using smartphone embedded wi-fi technology and machine learning algorithms](https://arxiv.org/abs/2302.07153)|[poisoned_water_detection](https://github.com/halgurd18/poisoned_water_detection)|\n", "2302.07190": "|[context query simulation for smart carparking scenarios in the melbourne cdb](https://arxiv.org/abs/2302.07190)|[context-query-simulator](https://github.com/shakthiyasas/context-query-simulator)|\n"}, "2023-02-16": {"2302.07601": "|[deep learning for hybrid beamforming with finite feedback in gsm aided mmwave mimo systems](https://arxiv.org/abs/2302.07601)|[gsmefbnet](https://github.com/kylin9511/gsmefbnet)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n"}, "2023-02-17": {"2204.11626": "|[a ris-based vehicle doa estimation method with integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2302.08053": "|[selective noise suppression in random svpwm to shape the voltage and current spectrum](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2302.08444": "|[a millimeter-wave software-defined radio for wireless experimentation](https://arxiv.org/abs/2302.08444)|[mmwavesdr](https://github.com/alphansahin/mmwavesdr)|\n"}, 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rate estimation using an autoencoder with a dct layer](https://arxiv.org/abs/2211.08491)|[icassp2023-ae-dct](https://github.com/phy710/icassp2023-ae-dct)|\n", "2301.11328": "|[cell-free isac mimo systems: joint sensing and communication beamforming](https://arxiv.org/abs/2301.11328)|[Cell-free-ISAC-beamforming](https://github.com/umut-demirhan/Cell-free-ISAC-beamforming)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion models](https://arxiv.org/abs/2301.12503)|[audioldm_eval](https://github.com/haoheliu/audioldm_eval)|\n", "2302.08584": "|[propagation measurements and analyses at 28 ghz via an autonomous beam-steering platform](https://arxiv.org/abs/2302.08584)|[SPAVE-28G](https://github.com/bharathkeshavamurthy/SPAVE-28G)|\n", "2302.08797": "|[deep comparisons of neural networks from the eegnet family](https://arxiv.org/abs/2302.08797)|[bionic_apps](https://github.com/kolcs/bionic_apps)|\n", 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analysis](https://arxiv.org/abs/2205.11578)|[bolt](https://github.com/icon-lab/bolt)|\n", "2207.07466": "|[towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[deeppvmapper](https://github.com/gabrielkasmi/deeppvmapper)|\n", "2211.13006": "|[quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2211.13006)|[qcs-sgm](https://github.com/mengxiangming/qcs-sgm)|\n", "2302.09332": "|[incipient fault detection in power distribution system: a time-frequency embedded deep learning based approach](https://arxiv.org/abs/2302.09332)|[AD-TFM-AT-Model](https://github.com/smartlab-hfut/AD-TFM-AT-Model)|\n", "2302.10073": "|[implementation of dnn based data detector for qpsk systems](https://arxiv.org/abs/2302.10073)|[qpsk_sdr_dnn_detector](https://github.com/abadi13/qpsk_sdr_dnn_detector)|\n", "2302.10147": "|[a dnn based normalized time-frequency weighted criterion for robust wideband doa estimation](https://arxiv.org/abs/2302.10147)|[dnnnormtimefreq4doa](https://github.com/kjason/dnnnormtimefreq4doa)|\n", "2209.15265": "|[overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery](https://arxiv.org/abs/2209.15265)|[neural-recovery](https://github.com/pilancilab/neural-recovery)|\n", "2302.09666": "|[synchronizing many filesystems in near linear time](https://arxiv.org/abs/2302.09666)|[algebraic-reconciler](https://github.com/csirmaz/algebraic-reconciler)|\n", "2302.09930": "|[nystr\\\"om $m$-hilbert-schmidt independence criterion](https://arxiv.org/abs/2302.09930)|[nystroem-mhsic](https://github.com/flopska/nystroem-mhsic)|\n"}, "2023-02-22": {"2002.04960": "|[power scaling laws and near-field behaviors of massive mimo and intelligent reflecting surfaces](https://arxiv.org/abs/2002.04960)|[near-field-behavior](https://github.com/emilbjornson/near-field-behavior)|\n", "2210.15975": "|[lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform](https://arxiv.org/abs/2210.15975)|[mb-istft-vits](https://github.com/masayakawamura/mb-istft-vits)|\n", "2301.08883": "|[versatile neural processes for learning implicit neural representations](https://arxiv.org/abs/2301.08883)|[versatile-np](https://github.com/zongyuguo/versatile-np)|\n", "2302.10515": "|[energy-efficient blockchain-enabled user-centric mobile edge computing](https://arxiv.org/abs/2302.10515)|[blockchain-enabled-ucmec](https://github.com/qlt315/blockchain-enabled-ucmec)|\n", "2302.10558": "|[joint optimization of base station clustering and service caching in user-centric mec](https://arxiv.org/abs/2302.10558)|[jo-cdsd](https://github.com/qlt315/jo-cdsd)|\n", "2302.10810": "|[a local machine learning approach for fingerprint-based indoor localization](https://arxiv.org/abs/2302.10810)|[-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization](https://github.com/noraagah/-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization)|\n", "2302.10701": "|[scalable infomin learning](https://arxiv.org/abs/2302.10701)|[infomin](https://github.com/cyz-ai/infomin)|\n"}, "2023-02-23": {"2011.04794": "|[estimating total correlation with mutual information estimators](https://arxiv.org/abs/2011.04794)|[tc-estimation](https://github.com/linear95/tc-estimation)|\n", "2202.06365": "|[unsourced multiple access with random user activity](https://arxiv.org/abs/2202.06365)|[uma_random_user_activity](https://github.com/khachoang1412/uma_random_user_activity)|\n"}, 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prediction to better compression, and back](https://arxiv.org/abs/2302.11669)|[joint-rna-compression](https://github.com/evita35/joint-rna-compression)|\n", "2302.12247": "|[quantifying & modeling feature interactions: an information decomposition framework](https://arxiv.org/abs/2302.12247)|[pid](https://github.com/pliang279/pid)|\n"}, "2023-02-25": {}, "2023-02-26": {}, "2023-02-27": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2204.11626": "|[a ris-based vehicle doa estimation method with integrated sensing and communication 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mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n", "2211.11176": "|[modeling multivariate biosignals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2302.13130": "|[point cloud forecasting as a proxy for 4d occupancy forecasting](https://arxiv.org/abs/2302.13130)|[4d-occ-forecasting](https://github.com/tarashakhurana/4d-occ-forecasting)|\n", "2305.00139": "|[leveraging label non-uniformity for node classification in graph neural networks](https://arxiv.org/abs/2305.00139)|[label-non-uniformity-gnn](https://github.com/amblee0306/label-non-uniformity-gnn)|\n", "2305.00334": "|[non-linear phase-retrieval algorithms for x-ray propagation-based phase-contrast 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sensing](https://arxiv.org/abs/2210.04941)|[slurp_grasping](https://github.com/river-lab/slurp_grasping)|\n", "2305.03571": "|[model-free reinforcement learning of semantic communication by stochastic policy gradient](https://arxiv.org/abs/2305.03571)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", "2305.03597": "|[a thru-free multiline calibration](https://arxiv.org/abs/2305.03597)|[thru-free-multiline-calibration](https://github.com/ZiadHatab/thru-free-multiline-calibration)|\n"}, "2023-05-09": {"2210.00943": "|[simple pooling front-ends for efficient audio classification](https://arxiv.org/abs/2210.00943)|[simpfs](https://github.com/liuxubo717/simpfs)|\n", "2302.08053": "|[selective noise suppression using random svpwm to shape the voltage spectrum](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2305.00769": "|[multi-scale transformer-based network for emotion recognition from multi physiological signals](https://arxiv.org/abs/2305.00769)|[EPiC-2023-ACII](https://github.com/vsl-team/EPiC-2023-ACII)|\n", "2305.04257": "|[unrolled architectures for high-throughput encoding of multi-kernel polar codes](https://arxiv.org/abs/2305.04257)|[polar-encoder-compiler](https://github.com/hosseinrezaeii91/polar-encoder-compiler)|\n"}, "2023-05-10": {"2209.10382": "|[robust information bottleneck for task-oriented communication with digital modulation](https://arxiv.org/abs/2209.10382)|[Discrete-TaskOriented-JSCC](https://github.com/SongjieXie/Discrete-TaskOriented-JSCC)|\n", "2305.04871": "|[gaussian process deconvolution](https://arxiv.org/abs/2305.04871)|[gaussian-process-deconvolution](https://github.com/games-uchile/gaussian-process-deconvolution)|\n", "2305.05002": "|[bistatic mimo radar sensing of specularly reflecting surfaces for wireless power transfer](https://arxiv.org/abs/2305.05002)|[bistatic-mimo-radar-sensing](https://gitlab.com/baenshy/bistatic-mimo-radar-sensing)|\n", "2305.05425": "|[3dinvnet: a deep learning-based 3d ground-penetrating radar data inversion](https://arxiv.org/abs/2305.05425)|[3dinvnet](https://github.com/qiqi-dai/3dinvnet)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-05-11": {"2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2305.05772": "|[spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds](https://arxiv.org/abs/2305.05772)|[alexsnn](https://github.com/lunglmayrmoser/alexsnn)|\n"}, "2023-05-12": {"2201.06023": "|[resource allocation for text semantic communications](https://arxiv.org/abs/2201.06023)|[semantic-resource-allocation-S-SE-](https://github.com/YL12345/semantic-resource-allocation-S-SE-)|\n", "2208.08867": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation](https://arxiv.org/abs/2208.08867)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n", "2208.09088": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties](https://arxiv.org/abs/2208.09088)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2023-05-13": {}, "2023-05-14": {}, "2023-05-15": {"2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2204.12404": "|[hierarchical bayesian modelling for knowledge transfer across engineering fleets via multitask learning](https://arxiv.org/abs/2204.12404)|[engineeringpatternrecognition](https://github.com/labull/engineeringpatternrecognition)|\n", "2208.11751": "|[over-the-air computation with multiple receivers: a space-time approach](https://arxiv.org/abs/2208.11751)|[space-time-ota](https://github.com/ymalitsky/space-time-ota)|\n", "2305.07130": "|[active sensing for two-sided beam alignment and reflection design using ping-pong pilots](https://arxiv.org/abs/2305.07130)|[active-sensing-beam-alignment](https://github.com/taojiang-github/active-sensing-beam-alignment)|\n", "2305.07156": "|[improved upper and lower bounds on the capacity of the binary deletion channel](https://arxiv.org/abs/2305.07156)|[bdc_upper_bounds](https://github.com/ittai-rubinstein/bdc_upper_bounds)|\n", "2305.07186": "|[learning to code on graphs for topological interference management](https://arxiv.org/abs/2305.07186)|[learning-to-code-on-graphs](https://github.com/zhiweishan/learning-to-code-on-graphs)|\n", "2305.07309": "|[adaptive and flexible model-based ai for deep receivers in dynamic channels](https://arxiv.org/abs/2305.07309)|[facilitating-adaptation-deep-receivers](https://github.com/tomerraviv95/facilitating-adaptation-deep-receivers)|\n"}, "2023-05-16": {"2304.06505": "|[locality sensitive hashing via mechanical behavior](https://arxiv.org/abs/2304.06505)|[mechhs](https://github.com/elejeune11/mechhs)|\n", "2305.06459": "|[slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2305.08687": "|[accelerated algorithms for nonlinear matrix decomposition with the relu function](https://arxiv.org/abs/2305.08687)|[relu-nmd](https://gitlab.com/ngillis/relu-nmd)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n", "2208.08085": "|[detection and mitigation of byzantine attacks in distributed training](https://arxiv.org/abs/2208.08085)|[aspis](https://github.com/kkonstantinidis/aspis)|\n"}, "2023-05-17": {"2208.07797": "|[on the convergence of inexact gradient descent with controlled synchronization steps](https://arxiv.org/abs/2208.07797)|[inexact-gradient-descent](https://github.com/Sandushan/inexact-gradient-descent)|\n", "2302.04151": "|[policy evaluation in decentralized pomdps with belief sharing](https://arxiv.org/abs/2302.04151)|[decpomdp_policy_evaluation_w-belief_sharing](https://github.com/asl-epfl/decpomdp_policy_evaluation_w-belief_sharing)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n", "2305.09661": "|[phase retrieval via model-free power flow jacobian recovery](https://arxiv.org/abs/2305.09661)|[powerphaseretrieval.jl](https://github.com/samtalki/powerphaseretrieval.jl)|\n"}, "2023-05-18": {"2211.10527": "|[pmnet: robust pathloss map prediction via supervised learning](https://arxiv.org/abs/2211.10527)|[pmnet](https://github.com/abman23/pmnet)|\n", "2305.09739": "|[outage performance and novel loss function for an ml-assisted resource allocation: an exact analytical framework](https://arxiv.org/abs/2305.09739)|[greedy-resource-allocation-outage-classification](https://github.com/ml4comms/greedy-resource-allocation-outage-classification)|\n", "2305.10009": "|[a modular and high-resolution time-frequency post-processing technique](https://arxiv.org/abs/2305.10009)|[Time-frequency-analysis](https://github.com/jsshen1/Time-frequency-analysis)|\n", "2305.10185": "|[algorithms for boolean matrix factorization using integer programming](https://arxiv.org/abs/2305.10185)|[booleanmf](https://gitlab.com/ngillis/booleanmf)|\n", "2305.09705": "|[random edge coding: one-shot bits-back coding of large labeled graphs](https://arxiv.org/abs/2305.09705)|[random-edge-coding](https://github.com/dsevero/random-edge-coding)|\n"}, "2023-05-19": {"2303.17995": "|[neural network entropy (nneten): entropy-based eeg signal and chaotic time series classification, python package for nneten calculation](https://arxiv.org/abs/2303.17995)|[nneten](https://github.com/izotov93/nneten)|\n", "2112.09162": "|[nonparametric two-sample testing by betting](https://arxiv.org/abs/2112.09162)|[nonparametric-testing-by-betting](https://github.com/sshekhar17/nonparametric-testing-by-betting)|\n", "2209.10438": "|[a measure of the complexity of neural representations based on partial information decomposition](https://arxiv.org/abs/2209.10438)|[nninfo](https://github.com/priesemann-group/nninfo)|\n", "2302.09666": "|[synchronizing many filesystems in near linear time](https://arxiv.org/abs/2302.09666)|[algebraic-reconciler](https://github.com/csirmaz/algebraic-reconciler)|\n", "2304.10770": "|[deir: efficient and robust exploration through discriminative-model-based episodic intrinsic rewards](https://arxiv.org/abs/2304.10770)|[deir](https://github.com/swan-utokyo/deir)|\n"}, "2023-05-20": {}, "2023-05-21": {}, "2023-05-22": {"2203.13510": "|[joint distribution of distance and angles in finite wireless networks](https://arxiv.org/abs/2203.13510)|[joint_pdf_dist_angles](https://github.com/franmarve/joint_pdf_dist_angles)|\n", "2211.04846": "|[grid-free harmonic retrieval and model order selection using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2305.11320": "|[parameter-efficient learning for text-to-speech accent adaptation](https://arxiv.org/abs/2305.11320)|[PEL-TTS](https://github.com/TTS-Research/PEL-TTS)|\n", "2305.11752": "|[marginalized beam search algorithms for hierarchical hmms](https://arxiv.org/abs/2305.11752)|[mbs](https://github.com/chunxxc/mbs)|\n"}, "2023-05-23": {"2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "2204.04723": "|[machine learning-based csi feedback with variable length in fdd massive mimo](https://arxiv.org/abs/2204.04723)|[ml-based-csi-feedback](https://github.com/matteonerini/ml-based-csi-feedback)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2305.10352": "|[appliance detection using very low-frequency smart meter time series](https://arxiv.org/abs/2305.10352)|[ApplianceDetectionBenchmark](https://github.com/adrienpetralia/ApplianceDetectionBenchmark)|\n", "2305.11891": "|[thraws: a novel dataset for thermal hotspots detection in raw sentinel-2 data](https://arxiv.org/abs/2305.11891)|[pyraws](https://github.com/esa-philab/pyraws)|\n", "2305.13161": "|[deepjscc-l++: robust and bandwidth-adaptive wireless image transmission](https://arxiv.org/abs/2305.13161)|[deepjscc-lplusplus](https://github.com/aprilbian/deepjscc-lplusplus)|\n", "2206.10043": "|[classification utility, fairness, and compactness via tunable information bottleneck and r\\'enyi measures](https://arxiv.org/abs/2206.10043)|[rfib-code](https://github.com/agronowski/rfib-code)|\n", "2305.12179": "|[commodity-specific triads in the dutch inter-industry production network](https://arxiv.org/abs/2305.12179)|[numetris](https://github.com/marsmdk/numetris)|\n", "2305.12900": "|[evaluating prompt-based question answering for object prediction in the open research knowledge graph](https://arxiv.org/abs/2305.12900)|[thesis_work](https://github.com/as18cia/thesis_work)|\n"}, "2023-05-24": {"2210.02271": "|[extending conformal prediction to hidden markov models with exact validity via de finetti's theorem for markov chains](https://arxiv.org/abs/2210.02271)|[cp_hmm](https://github.com/complexinfo/cp_hmm)|\n", "2305.13493": "|[cooperative channel capacity learning](https://arxiv.org/abs/2305.13493)|[CORTICAL](https://github.com/tonellolab/CORTICAL)|\n", "2305.14131": "|[temporally causal discovery tests for discrete time series and neural spike trains](https://arxiv.org/abs/2305.14131)|[github_temporal_causality](https://github.com/andreas947/github_temporal_causality)|\n"}, "2023-05-25": {"2303.05798": "|[sliced-wasserstein on symmetric positive definite matrices for m/eeg signals](https://arxiv.org/abs/2303.05798)|[spdsw](https://github.com/clbonet/spdsw)|\n", "2305.06459": "|[slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2305.15371": "|[stochastic unrolled federated learning](https://arxiv.org/abs/2305.15371)|[fed-surf](https://github.com/smrhadou/fed-surf)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[infoshape](https://github.com/billywu1029/infoshape)|\n", "2305.14819": "|[directed message passing based on attention for prediction of molecular properties](https://arxiv.org/abs/2305.14819)|[d-gats](https://github.com/gongchen-1995/d-gats)|\n", "2305.15220": "|[selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata](https://arxiv.org/abs/2305.15220)|[empowered-nca-ii](https://github.com/caitlingrasso/empowered-nca-ii)|\n"}, "2023-05-26": {"2302.00919": "|[qcm-sgm+: improved quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2302.00919)|[qcs-sgm-plus](https://github.com/mengxiangming/qcs-sgm-plus)|\n", "2305.15795": "|[emergency response person localization and vital sign estimation using a semi-autonomous robot mounted sfcw radar](https://arxiv.org/abs/2305.15795)|[radar-vitals-estimation](https://github.com/schrchr/radar-vitals-estimation)|\n"}, "2023-05-27": {}, "2023-05-28": {}, "2023-05-29": {"2305.16789": "|[modulate your spectrum in self-supervised learning](https://arxiv.org/abs/2305.16789)|[intl](https://github.com/winci-ai/intl)|\n", "2305.16446": "|[the representation jensen-shannon divergence](https://arxiv.org/abs/2305.16446)|[representationjsd](https://github.com/uk-cliplab/representationjsd)|\n", "2305.16578": "|[computation of reliability statistics for finite samples of success-failure experiments](https://arxiv.org/abs/2305.16578)|[relistats](https://github.com/sanjaymjoshi/relistats)|\n"}, "2023-05-30": {"2007.07148": "|[traffic simulator for multibeam satellite communication systems](https://arxiv.org/abs/2007.07148)|[Satellite-Traffic-Simulator](https://github.com/hayder-hussein/Satellite-Traffic-Simulator)|\n", "2202.02884": "|[exploring self-attention mechanisms for speech separation](https://arxiv.org/abs/2202.02884)|[speechbrain](https://github.com/speechbrain/speechbrain)|\n", "2207.00866": "|[doubly-iterative sparsified mmse turbo equalization for otfs modulation](https://arxiv.org/abs/2207.00866)|[dismmse-turbo-equalizer-for-otfs](https://github.com/alga53/dismmse-turbo-equalizer-for-otfs)|\n", "2305.17321": "|[optimal resource allocation with delay guarantees for network slicing in disaggregated ran](https://arxiv.org/abs/2305.17321)|[paper-fgkcj-2023](https://github.com/labora-inf-ufg/paper-fgkcj-2023)|\n", "2305.18205": "|[pulse shape discrimination based on the tempotron: a powerful classifier on gpu](https://arxiv.org/abs/2305.18205)|[TempotronGPU](https://github.com/HaoranLiu507/TempotronGPU)|\n", "2210.00313": "|[crisp: curriculum based sequential neural decoders for polar code family](https://arxiv.org/abs/2210.00313)|[neural_polar_decoder](https://github.com/hebbarashwin/neural_polar_decoder)|\n", "2211.12343": "|[diffusion model based posterior sampling for noisy linear inverse problems](https://arxiv.org/abs/2211.12343)|[dmps](https://github.com/mengxiangming/dmps)|\n", "2301.08164": "|[dime: maximizing mutual information by a difference of matrix-based entropies](https://arxiv.org/abs/2301.08164)|[DiME](https://github.com/uk-cliplab/DiME)|\n", "2303.02598": "|[on probability shaping for 5g mimo wireless channel with realistic ldpc codes](https://arxiv.org/abs/2303.02598)|[on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes](https://github.com/eugenbobrov/on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes)|\n"}, "2023-05-31": {"2206.03369": "|[computational doob's h-transforms for online filtering of discretely observed diffusions](https://arxiv.org/abs/2206.03369)|[CompDoobTransform](https://github.com/jeremyhengjm/CompDoobTransform)|\n", "2303.05043": "|[invertible kernel pca with random fourier features](https://arxiv.org/abs/2303.05043)|[invertible_kernel_PCA](https://github.com/dgedon/invertible_kernel_PCA)|\n", "2304.00474": "|[on the optimal recovery of graph signals](https://arxiv.org/abs/2304.00474)|[orofgraphsignals](https://github.com/liaochunyang/orofgraphsignals)|\n", "2305.18665": "|[e-panns: sound recognition using efficient pre-trained audio neural networks](https://arxiv.org/abs/2305.18665)|[e-panns](https://github.com/arshdeep-singh-boparai/e-panns)|\n", "2112.01583": "|[the representation jensen-r\\'enyi divergence](https://arxiv.org/abs/2112.01583)|[jensen-renyi-divergence](https://github.com/uk-cliplab/jensen-renyi-divergence)|\n", "2210.09808": "|[distributed inference over linear models using alternating gaussian belief propagation](https://arxiv.org/abs/2210.09808)|[FactorGraph.jl](https://github.com/mcosovic/FactorGraph.jl)|\n", "2305.17467": "|[structured model selection via $\\ell_1-\\ell_2$ optimization](https://arxiv.org/abs/2305.17467)|[nonconvexsparsecyclicrecovery](https://github.com/linanzhang/nonconvexsparsecyclicrecovery)|\n", "2305.18887": "|[how does information bottleneck help deep learning?](https://arxiv.org/abs/2305.18887)|[information-bottleneck](https://github.com/xu-ji/information-bottleneck)|\n", "2305.19256": "|[ambient diffusion: learning clean distributions from corrupted data](https://arxiv.org/abs/2305.19256)|[ambient-diffusion](https://github.com/giannisdaras/ambient-diffusion)|\n"}, "2023-06-01": {"2208.07797": "|[on the convergence of inexact gradient descent with controlled synchronization steps](https://arxiv.org/abs/2208.07797)|[inexact-gradient-descent](https://github.com/Sandushan/inexact-gradient-descent)|\n", "2305.17510": "|[a hybrid quantum-classical approach based on the hadamard transform for the convolutional layer](https://arxiv.org/abs/2305.17510)|[icml2023-ht](https://github.com/phy710/icml2023-ht)|\n", "2305.20025": "|[variational $f$-divergence and derangements for discriminative mutual information estimation](https://arxiv.org/abs/2305.20025)|[fdime](https://github.com/tonellolab/fdime)|\n", "2301.00006": "|[recovering top-two answers and confusion probability in multi-choice crowdsourcing](https://arxiv.org/abs/2301.00006)|[toptwo](https://github.com/hyeonsu-jeong/toptwo)|\n", "2302.13846": "|[domain adaptive decision trees: implications for accuracy and fairness](https://arxiv.org/abs/2302.13846)|[domain-adaptive-trees](https://github.com/nobias-project/domain-adaptive-trees)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n", "2305.19695": "|[causal discovery for time series with constraint-based model and pmime measure](https://arxiv.org/abs/2305.19695)|[cd_for_ts_with_cbm_and_pmime](https://github.com/aarsac/cd_for_ts_with_cbm_and_pmime)|\n"}, "2023-06-02": {"2211.11406": "|[structural optimization of factor graphs for symbol detection via continuous clustering and machine 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complexity](https://arxiv.org/abs/2209.01418)|[learningrequiresintinf](https://github.com/carlottalanger/learningrequiresintinf)|\n"}, "2023-06-03": {}, "2023-06-04": {}, "2023-06-05": {"2212.00724": "|[swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition](https://arxiv.org/abs/2212.00724)|[SWL-Adapt](https://github.com/Rxannro/SWL-Adapt)|\n", "2210.01237": "|[bayes-optimal limits in structured pca, and how to reach them](https://arxiv.org/abs/2210.01237)|[structured-pca-](https://github.com/fcamilli95/structured-pca-)|\n", "2301.13393": "|[probably anytime-safe stochastic combinatorial semi-bandits](https://arxiv.org/abs/2301.13393)|[passcsb](https://github.com/y-hou/passcsb)|\n"}, "2023-06-06": {"2301.11955": "|[adaptive whitening in neural populations with gain-modulating 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rigorously](https://arxiv.org/abs/2306.02044)|[subjectiveevaluation](https://github.com/d223302/subjectiveevaluation)|\n", "2306.02271": "|[subspacenet: deep learning-aided subspace methods for doa estimation](https://arxiv.org/abs/2306.02271)|[subspacenet](https://github.com/shlezingerlab/subspacenet)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[infoshape](https://github.com/billywu1029/infoshape)|\n", "2306.02032": "|[admm-based detector for large-scale mimo code-domain noma systems](https://arxiv.org/abs/2306.02032)|[admm-based-detector-for-noma](https://github.com/vikas2020-del/admm-based-detector-for-noma)|\n"}, "2023-06-07": {"2306.02323": "|[lora backscatter communications: temporal, spectral, and error performance 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multimodal data: guarantees and applications](https://arxiv.org/abs/2306.04539)|[pid](https://github.com/pliang279/pid)|\n"}, "2023-06-09": {"2209.09163": "|[validation of the reference impedance in multiline calibration with stepped impedance standards](https://arxiv.org/abs/2209.09163)|[verification-multiline-trl-calibration](https://github.com/ZiadHatab/verification-multiline-trl-calibration)|\n", "2211.15939": "|[an adaptive and robust deep learning framework for thz ultra-massive mimo channel estimation](https://arxiv.org/abs/2211.15939)|[FPN-OAMP-THz-Channel-Estimation](https://github.com/wyuaq/FPN-OAMP-THz-Channel-Estimation)|\n", "2306.05255": "|[toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation](https://arxiv.org/abs/2306.05255)|[drca-mlhm](https://github.com/xzhan96-stf/drca-mlhm)|\n", "2201.08068": "|[power allocation algorithms for massive mimo systems with multi-antenna users](https://arxiv.org/abs/2201.08068)|[Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users](https://github.com/eugenbobrov/Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users)|\n", "2301.00557": "|[learning to maximize mutual information for dynamic feature selection](https://arxiv.org/abs/2301.00557)|[dynamic-selection](https://github.com/iancovert/dynamic-selection)|\n", "2303.08882": "|[generic decoding of restricted errors](https://arxiv.org/abs/2303.08882)|[rest-dec](https://github.com/sebastianbitzer/rest-dec)|\n"}, "2023-06-10": {}, "2023-06-11": {}, "2023-06-12": {"2306.05812": "|[hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection](https://arxiv.org/abs/2306.05812)|[hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection](https://github.com/ahogg/hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection)|\n", "2306.04810": "|[correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry](https://arxiv.org/abs/2306.04810)|[Supervised-CorInfoMax](https://github.com/BariscanBozkurt/Supervised-CorInfoMax)|\n"}, "2023-06-13": {"2306.05775": "|[weight freezing: a regularization approach for fully connected layers with an application in eeg classification](https://arxiv.org/abs/2306.05775)|[weightfreezing](https://github.com/miaozhengqing/weightfreezing)|\n", "2306.06144": "|[bayesian calibration of mems accelerometers](https://arxiv.org/abs/2306.06144)|[bayes_cal_paper](https://github.com/oduerr/bayes_cal_paper)|\n", "2306.06375": "|[optimized gradient tracking for decentralized online learning](https://arxiv.org/abs/2306.06375)|[Optimized-Gradient-Tracking](https://github.com/Shivangi-Dubey-Sharma/Optimized-Gradient-Tracking)|\n", "2306.06522": "|[ts-moco: time-series momentum contrast for self-supervised physiological representation learning](https://arxiv.org/abs/2306.06522)|[ts-moco](https://github.com/philipph77/ts-moco)|\n", "2305.12900": "|[evaluating prompt-based question answering for object prediction in the open research knowledge graph](https://arxiv.org/abs/2305.12900)|[thesis_work](https://github.com/as18cia/thesis_work)|\n"}, "2023-06-14": {"2204.13366": "|[semantic information recovery in wireless networks](https://arxiv.org/abs/2204.13366)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", 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generation with structured state space models](https://arxiv.org/abs/2301.08227)|[sssd-ecg](https://github.com/ai4healthuol/sssd-ecg)|\n", "2306.08514": "|[low-complexity steered response power mapping based on low-rank and sparse interpolation](https://arxiv.org/abs/2306.08514)|[lr-sp-int-srp](https://github.com/tdietzen/lr-sp-int-srp)|\n", "2306.08728": "|[towards trustworthy seizure onset detection using workflow notes](https://arxiv.org/abs/2306.08728)|[eeg_robustness](https://github.com/khaledsaab/eeg_robustness)|\n", "2306.08903": "|[two-way semantic transmission of images without feedback](https://arxiv.org/abs/2306.08903)|[TW-SemanticComm](https://github.com/Kiven-ykw/TW-SemanticComm)|\n", "2306.08173": "|[safeguarding data in multimodal ai: a differentially private approach to clip training](https://arxiv.org/abs/2306.08173)|[dpclip](https://github.com/dpclip/dpclip)|\n"}, "2023-06-17": {}, "2023-06-18": {}, 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multivariate multi-step day-ahead pv generation forecasting](https://arxiv.org/abs/2306.10356)|[matnet](https://github.com/cosbidev/matnet)|\n", "2306.10588": "|[duta-vc: a duration-aware typical-to-atypical voice conversion approach with diffusion probabilistic model](https://arxiv.org/abs/2306.10588)|[duta-vc](https://github.com/wanghelin1997/duta-vc)|\n", "2306.11123": "|[to fold or not to fold: graph regularized tensor train for visual data completion](https://arxiv.org/abs/2306.11123)|[graphttc](https://github.com/xumaomao94/graphttc)|\n", "2306.10703": "|[fdnet: focal decomposed network for efficient, robust and practical time series forecasting](https://arxiv.org/abs/2306.10703)|[fdnet](https://github.com/origamisl/fdnet)|\n", "2306.11078": "|[beyond normal: on the evaluation of mutual information estimators](https://arxiv.org/abs/2306.11078)|[bmi](https://github.com/cbg-ethz/bmi)|\n"}, "2023-06-22": {"2210.16985": "|[space-time design for deep joint source channel coding of images over mimo channels](https://arxiv.org/abs/2210.16985)|[st_jscc](https://github.com/aprilbian/st_jscc)|\n", "2306.12063": "|[high throughput open-source implementation of wi-fi 6 and wimax ldpc encoder and decoder](https://arxiv.org/abs/2306.12063)|[yaldpc](https://github.com/talenik/yaldpc)|\n"}, "2023-06-23": {"2210.15951": "|[signal inpainting from fourier magnitudes](https://arxiv.org/abs/2210.15951)|[inpainting-fourier](https://github.com/louis-bahrman/inpainting-fourier)|\n"}, "2023-06-24": {}, "2023-06-25": {}, "2023-06-26": {"2306.13105": "|[multi-task learning for radar signal characterisation](https://arxiv.org/abs/2306.13105)|[radchar](https://github.com/abcxyzi/radchar)|\n", "2102.10324": "|[necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden 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captured by neural networks: connections with memorization and generalization](https://arxiv.org/abs/2306.15918)|[aws-cv-unique-information](https://github.com/awslabs/aws-cv-unique-information)|\n"}, "2023-06-30": {"2103.13018": "|[noise detection with spectator qubits and quantum feature engineering](https://arxiv.org/abs/2103.13018)|[QFEND](https://github.com/akramyoussry/QFEND)|\n", "2306.16621": "|[assessing the performance of 1d-convolution neural networks to predict concentration of mixture components from raman spectra](https://arxiv.org/abs/2306.16621)|[ramix](https://github.com/dexterantonio/ramix)|\n", "2306.17028": "|[accurate pet reconstruction from reduced set of measurements based on gmm](https://arxiv.org/abs/2306.17028)|[accurate-pet-reconstruction-from-reduced-set-of-measurements-based-on-gmm](https://github.com/tm2005/accurate-pet-reconstruction-from-reduced-set-of-measurements-based-on-gmm)|\n", "2306.16842": 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generative models for unsupervised delamination detection using guided waves](https://arxiv.org/abs/2308.05350)|[anovae-delamshm](https://github.com/mahindrautela/anovae-delamshm)|\n", "2308.05734": "|[audioldm 2: learning holistic audio generation with self-supervised pretraining](https://arxiv.org/abs/2308.05734)|[AudioLDM2](https://github.com/haoheliu/AudioLDM2)|\n", "2308.05664": "|[information decomposition reveals hidden high-order contributions to temporal irreversibility](https://arxiv.org/abs/2308.05664)|[fastdmf](https://gitlab.com/concog/fastdmf)|\n"}, "2023-08-12": {}, "2023-08-13": {}, "2023-08-14": {"2303.02266": "|[collaborative learning with a drone orchestrator](https://arxiv.org/abs/2303.02266)|[collaborative-learning-with-a-drone-orchestrator](https://github.com/drmahdiboloursazmashhadi/collaborative-learning-with-a-drone-orchestrator)|\n", "2305.03597": "|[a thru-free multiline calibration](https://arxiv.org/abs/2305.03597)|[thru-free-multiline-calibration](https://github.com/ZiadHatab/thru-free-multiline-calibration)|\n", "2308.05764": "|[unlocking the diagnostic potential of ecg through knowledge transfer from cardiac mri](https://arxiv.org/abs/2308.05764)|[mmcl-ecg-cmr](https://github.com/oetu/mmcl-ecg-cmr)|\n", "2210.17020": "|[a law of data separation in deep learning](https://arxiv.org/abs/2210.17020)|[re-equi-sepa](https://github.com/dadacheng/re-equi-sepa)|\n"}, "2023-08-15": {"2308.01138": "|[can we transfer noise patterns? a multi-environment spectrum analysis model using generated cases](https://arxiv.org/abs/2308.01138)|[cnst](https://github.com/magnomic/cnst)|\n"}, "2023-08-16": {"2302.08053": "|[selective noise suppression methods using random svpwm to shape the noise spectrum of pmsms](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2210.06591": "|[rigorous dynamical mean field theory for stochastic gradient descent methods](https://arxiv.org/abs/2210.06591)|[rigorous-dynamical-mean-field-theory](https://github.com/spoc-group/rigorous-dynamical-mean-field-theory)|\n"}, "2023-08-17": {"2308.08208": "|[quaternary neural belief propagation decoding of quantum ldpc codes with overcomplete check matrices](https://arxiv.org/abs/2308.08208)|[quantum-neural-bp4-demo](https://github.com/kit-cel/quantum-neural-bp4-demo)|\n"}, "2023-08-18": {}, "2023-08-19": {}, "2023-08-20": {}, "2023-08-21": {"2202.06948": "|[towards best practice of interpreting deep learning models for eeg-based brain computer interfaces](https://arxiv.org/abs/2202.06948)|[Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI](https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI)|\n", "2307.12644": "|[remote bio-sensing: open source benchmark framework for fair evaluation of rppg](https://arxiv.org/abs/2307.12644)|[rppg](https://github.com/remotebiosensing/rppg)|\n", "2308.09361": "|[swinjscc: taming swin transformer for deep joint source-channel coding](https://arxiv.org/abs/2308.09361)|[swinjscc](https://github.com/semcomm/swinjscc)|\n"}, "2023-08-22": {"2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2209.07689": "|[a unified multi-task semantic communication system for multimodal data](https://arxiv.org/abs/2209.07689)|[t-udeepsc](https://github.com/zhang-guangyi/t-udeepsc)|\n", "2211.02641": "|[graph neural networks on spd manifolds for motor imagery classification: a perspective from the time-frequency analysis](https://arxiv.org/abs/2211.02641)|[Tensor-CSPNet-and-Graph-CSPNet](https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)|\n", "2212.11531": "|[multidimensional graph neural networks for wireless communications](https://arxiv.org/abs/2212.11531)|[mdgnn](https://github.com/lsj-buaa/mdgnn)|\n", "2304.09700": "|[entropy estimation via uniformization](https://arxiv.org/abs/2304.09700)|[nfee](https://github.com/ziq-ao/nfee)|\n", "2308.10094": "|[learning and communications co-design for remote inference systems: feature length selection and transmission scheduling](https://arxiv.org/abs/2308.10094)|[impact-of-data-freshness-in-learning](https://github.com/kamran0153/impact-of-data-freshness-in-learning)|\n"}, "2023-08-23": {"2110.09807": "|[learning to learn graph topologies](https://arxiv.org/abs/2110.09807)|[l2g-neurips2021](https://github.com/xpuoxford/l2g-neurips2021)|\n", "2305.09363": "|[tightly integrated motion classification and state estimation in foot-mounted navigation systems](https://arxiv.org/abs/2305.09363)|[filterbanks](https://gitlab.liu.se/open-shoe/filterbanks)|\n", "2308.11335": "|[graph neural network-enhanced expectation propagation algorithm for mimo turbo receivers](https://arxiv.org/abs/2308.11335)|[GNN-enhanced-EP-for-Turbo-MIMO](https://github.com/STARainZ/GNN-enhanced-EP-for-Turbo-MIMO)|\n", "2308.10956": "|[information content and maximum entropy of compartmental systems in equilibrium](https://arxiv.org/abs/2308.10956)|[entropy_and_complexity_in_eq](https://github.com/goujou/entropy_and_complexity_in_eq)|\n"}, "2023-08-24": {"2305.03597": "|[a thru-free multiline calibration](https://arxiv.org/abs/2305.03597)|[thru-free-multiline-calibration](https://github.com/ZiadHatab/thru-free-multiline-calibration)|\n", "2306.04647": "|[compressed sensing: a discrete optimization approach](https://arxiv.org/abs/2306.04647)|[discretecompressedsensing.jl](https://github.com/nicholasjohnson2020/discretecompressedsensing.jl)|\n", "2308.11638": "|[iot data trust evaluation via machine learning](https://arxiv.org/abs/2308.11638)|[iot_datatrust_rwi](https://github.com/tim-tadj/iot_datatrust_rwi)|\n", "2308.12106": "|[optimal linear precoder design for mimo-ofdm integrated sensing and communications based on bayesian cram\\'er-rao bound](https://arxiv.org/abs/2308.12106)|[isac-mimo-ofdm-wf](https://github.com/xinyanglii/isac-mimo-ofdm-wf)|\n", "2308.12259": "|[system identification using the signed cumulative distribution transform in structural health monitoring applications](https://arxiv.org/abs/2308.12259)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n"}, "2023-08-25": {"2303.01770": "|[quantized radio map estimation using tensor and deep generative models](https://arxiv.org/abs/2303.01770)|[Quantized-Radio-Map-Estimation-BTD-and-DGM](https://github.com/XiaoFuLab/Quantized-Radio-Map-Estimation-BTD-and-DGM)|\n", "2306.01891": "|[dh-ptam: a deep hybrid stereo events-frames parallel tracking and mapping system](https://arxiv.org/abs/2306.01891)|[dh-ptam](https://github.com/abanobsoliman/dh-ptam)|\n"}, "2023-08-26": {}, "2023-08-27": {}, "2023-08-28": {"2112.06074": "|[early stopping for deep image prior](https://arxiv.org/abs/2112.06074)|[early_stopping_for_dip](https://github.com/sun-umn/early_stopping_for_dip)|\n", "2304.01568": "|[arrhythmia classifier based on ultra-lightweight binary neural network](https://arxiv.org/abs/2304.01568)|[ecg_bnn_net](https://github.com/xpww/ecg_bnn_net)|\n", "2305.11320": "|[parameter-efficient learning for text-to-speech accent adaptation](https://arxiv.org/abs/2305.11320)|[PEL-TTS](https://github.com/TTS-Research/PEL-TTS)|\n", "2306.00331": "|[a multi-dimensional deep structured state space approach to speech enhancement using small-footprint models](https://arxiv.org/abs/2306.00331)|[s4nd-u-net_speech_enhancement](https://github.com/kuray107/s4nd-u-net_speech_enhancement)|\n"}, "2023-08-29": {"2308.13777": "|[self-supervised scalable deep compressed sensing](https://arxiv.org/abs/2308.13777)|[scnet](https://github.com/guaishou74851/scnet)|\n", "2308.14020": "|[a comparison of neural networks for wireless channel prediction](https://arxiv.org/abs/2308.14020)|[channel_prediction_dnn](https://github.com/osst3224/channel_prediction_dnn)|\n", "2308.14416": "|[on the statistical relation of ultra-reliable wireless and location estimation](https://arxiv.org/abs/2308.14416)|[localization-and-reliability-in-urllc](https://github.com/tobiaskallehauge/localization-and-reliability-in-urllc)|\n", "2308.13709": "|[fast and low-memory compressive sensing algorithms for low tucker-rank tensor approximation from streamed measurements](https://arxiv.org/abs/2308.13709)|[leave_one_out_recovery](https://github.com/cahaselby/leave_one_out_recovery)|\n", "2308.13858": "|[a spatially non-stationary fading channel model for simulation and (semi-) analytical study of elaa-mimo](https://arxiv.org/abs/2308.13858)|[non-stationary-fading-channel-model](https://github.com/elaa-mimo/non-stationary-fading-channel-model)|\n"}, 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distribution](https://arxiv.org/abs/1904.08576)|[cv-impute](https://github.com/mohsenbayati/cv-impute)|\n"}, "2023-09-01": {"2210.09134": "|[principled pruning of bayesian neural networks through variational free energy minimization](https://arxiv.org/abs/2210.09134)|[principledpruningbnn](https://github.com/biaslab/principledpruningbnn)|\n", "2308.16511": "|[phonmatchnet: phoneme-guided zero-shot keyword spotting for user-defined keywords](https://arxiv.org/abs/2308.16511)|[phonmatchnet](https://github.com/ncsoft/phonmatchnet)|\n", "2308.16540": "|[time-varying quasi-closed-phase analysis for accurate formant tracking in speech signals](https://arxiv.org/abs/2308.16540)|[ftrack](https://github.com/njaygowda/ftrack)|\n"}, "2023-09-02": {}, "2023-09-03": {}, "2023-09-04": {"2209.09163": "|[validation of the reference impedance in multiline calibration with stepped impedance standards](https://arxiv.org/abs/2209.09163)|[verification-multiline-trl-calibration](https://github.com/ZiadHatab/verification-multiline-trl-calibration)|\n", "2210.15448": "|[neural augmented kalman filtering with bollinger bands for pairs trading](https://arxiv.org/abs/2210.15448)|[kalmanbot_icassp23](https://github.com/kalmannet/kalmanbot_icassp23)|\n", "2204.13424": "|[from prediction markets to interpretable collective intelligence](https://arxiv.org/abs/2204.13424)|[collective-intelligence-research](https://github.com/nicknick85/collective-intelligence-research)|\n"}, "2023-09-05": {}, "2023-09-06": {"2109.03463": "|[generalized minimum error entropy for adaptive filtering](https://arxiv.org/abs/2109.03463)|[Generalized-minimum-error-entropy-for-robust-learning](https://github.com/Asmallorange123/Generalized-minimum-error-entropy-for-robust-learning)|\n", "2309.01074": "|[towards efficient modeling and inference in multi-dimensional gaussian process state-space models](https://arxiv.org/abs/2309.01074)|[gpssmproj](https://github.com/zhidilin/gpssmproj)|\n"}, "2023-09-07": {"2207.08100": "|[load modulation for backscatter communication: channel capacity and near-capacity schemes](https://arxiv.org/abs/2207.08100)|[backscatteratcapacity](https://github.com/grdu/backscatteratcapacity)|\n", "2307.04056": "|[manifold filter-combine networks](https://arxiv.org/abs/2307.04056)|[mfcn](https://github.com/krishnaswamylab/mfcn)|\n", "2309.02606": "|[distributed variational inference for online supervised learning](https://arxiv.org/abs/2309.02606)|[distributed-mapping](https://github.com/pptx/distributed-mapping)|\n", "2309.02886": "|[symmetric-reciprocal-match method for vector network analyzer calibration](https://arxiv.org/abs/2309.02886)|[srm-calibration](https://github.com/ZiadHatab/srm-calibration)|\n", "2309.03058": "|[uncertainty 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atrial fibrillation detection via parameterised hypercomplex neural networks](https://arxiv.org/abs/2211.02678)|[hypercomplexecg](https://github.com/leibniz-future-lab/hypercomplexecg)|\n", "2211.14049": "|[task-oriented communication for edge video analytics](https://arxiv.org/abs/2211.14049)|[tocom-tem](https://github.com/shaojiawei07/tocom-tem)|\n", "2301.00776": "|[physics-informed neural networks for prognostics and health management of lithium-ion batteries](https://arxiv.org/abs/2301.00776)|[PINN-Battery-Prognostics](https://github.com/WenPengfei0823/PINN-Battery-Prognostics)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion models](https://arxiv.org/abs/2301.12503)|[AudioLDM](https://github.com/haoheliu/AudioLDM)|\n", "2308.04650": "|[deep metric learning for the hemodynamics inference with electrocardiogram signals](https://arxiv.org/abs/2308.04650)|[ssldml](https://github.com/mandiehyewon/ssldml)|\n", "2308.05734": "|[audioldm 2: learning holistic audio generation with self-supervised pretraining](https://arxiv.org/abs/2308.05734)|[AudioLDM2](https://github.com/haoheliu/AudioLDM2)|\n", "2309.05458": "|[ecg-based estimation of respiratory modulation of av nodal conduction during atrial fibrillation](https://arxiv.org/abs/2309.05458)|[ecg-based_estimation_of_respiratory_modulation_of_av_nodal_conduction_during_atrial_fibrillation](https://github.com/plappertf/ecg-based_estimation_of_respiratory_modulation_of_av_nodal_conduction_during_atrial_fibrillation)|\n", "2309.01237": "|[the information geometry of umap](https://arxiv.org/abs/2309.01237)|[info-geometry-umap](https://github.com/sashakolpakov/info-geometry-umap)|\n", "2309.04626": "|[perceptual adjustment queries and an inverted measurement paradigm for low-rank metric 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improving music for those with a hearing loss](https://arxiv.org/abs/2310.05799)|[task1](https://github.com/claritychallenge/clarity/tree/main/recipes/cad1/task1)|\n", "2306.03301": "|[estimating conditional mutual information for dynamic feature selection](https://arxiv.org/abs/2306.03301)|[dime](https://github.com/suinleelab/dime)|\n"}, "2023-10-09": {"2109.05536": "|[link scheduling using graph neural networks](https://arxiv.org/abs/2109.05536)|[distgcn](https://github.com/zhongyuanzhao/distgcn)|\n", "2310.03771": "|[a comprehensive indoor environment dataset from single-family houses in the us](https://arxiv.org/abs/2310.03771)|[bdl_data_1](https://github.com/anik801/bdl_data_1)|\n"}, "2023-10-08": {}, "2023-10-11": {"2305.03308": "|[tiny-ppg: a lightweight deep neural network for real-time detection of motion artifacts in photoplethysmogram signals on edge 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normalization for learning on sleep data](https://arxiv.org/abs/2305.18831)|[convolutional-monge-mapping-normalization](https://github.com/pythonot/convolutional-monge-mapping-normalization)|\n", "2307.02745": "|[alpcah: sample-wise heteroscedastic pca with tail singular value regularization](https://arxiv.org/abs/2307.02745)|[alpcah](https://github.com/javiersc1/alpcah)|\n", "2307.09149": "|[successive linear approximation vbi for joint sparse signal recovery and dynamic grid parameters estimation](https://arxiv.org/abs/2307.09149)|[sla-vbi](https://github.com/zju-xwk/sla-vbi)|\n", "2310.08660": "|[learning rl-policies for joint beamforming without exploration: a batch constrained off-policy approach](https://arxiv.org/abs/2310.08660)|[safe-rl-deployment-for-5g](https://github.com/heasung-kim/safe-rl-deployment-for-5g)|\n", "2311.06390": "|[chatgpt in the context of precision agriculture data 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surface electromyogram signals: hand gesture decoding on riemannian manifolds](https://arxiv.org/abs/2311.08548)|[geometryofsemg](https://github.com/harshavardhanatg/geometryofsemg)|\n"}, "2023-11-17": {"2303.08691": "|[learning to reconstruct signals from binary measurements](https://arxiv.org/abs/2303.08691)|[ssbm](https://github.com/tachella/ssbm)|\n"}, "2023-11-18": {}, "2023-11-19": {}, "2023-11-20": {"2205.01607": "|[modeling and correcting bias in sequential evaluation](https://arxiv.org/abs/2205.01607)|[sequential-bias](https://github.com/jingyanw/sequential-bias)|\n", "2305.14131": "|[temporally causal discovery tests for discrete time series and neural spike trains](https://arxiv.org/abs/2305.14131)|[github_temporal_causality](https://github.com/andreas947/github_temporal_causality)|\n"}, "2023-11-21": {"2110.04717": "|[rtsnet: learning to smooth in partially known state-space 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environments with lpaas](https://arxiv.org/abs/2106.13083)|[Solomon](https://github.com/di-unipi-socc/Solomon)|\n", "2309.06532": "|[bayesian topology inference on partially known networks from input-output pairs](https://arxiv.org/abs/2309.06532)|[inference_langevin](https://github.com/tenceto/inference_langevin)|\n"}, "2024-01-03": {"2309.03537": "|[data-adaptive graph framelets with generalized vanishing moments for graph signal processing](https://arxiv.org/abs/2309.03537)|[graph-involved-frame](https://github.com/zrgcityu/graph-involved-frame)|\n", "2401.01268": "|[$f$-divergence based classification: beyond the use of cross-entropy](https://arxiv.org/abs/2401.01268)|[discriminative-classification-fdiv](https://github.com/tonellolab/discriminative-classification-fdiv)|\n", "2401.00953": "|[families of costs with zero and nonnegative mtw tensor in optimal 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analysis and filter design for directed graphs with polar decomposition](https://arxiv.org/abs/2312.11421)|[ICASSP2024](https://github.com/semink/ICASSP2024)|\n", "2312.14507": "|[unsupervised harmonic parameter estimation using differentiable dsp and spectral optimal transport](https://arxiv.org/abs/2312.14507)|[1d-spectral-optimal-transport](https://github.com/bernardo-torres/1d-spectral-optimal-transport)|\n", "2401.05394": "|[iterative regularization with k-support norm: an important complement to sparse recovery](https://arxiv.org/abs/2401.05394)|[irksn_aaai2024](https://github.com/wdevazelhes/irksn_aaai2024)|\n", "2401.07590": "|[remaining useful life prediction for aircraft engines using lstm](https://arxiv.org/abs/2401.07590)|[rul-prediction](https://github.com/aneesperingal/rul-prediction)|\n", "2401.08039": "|[calibration of an ska-low prototype station using holographic 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score-based diffusion model for surface electromyographic signal denoising](https://arxiv.org/abs/2402.03808)|[sdemg](https://github.com/tonyliu0910/sdemg)|\n", "2402.04161": "|[attention with markov: a framework for principled analysis of transformers via markov chains](https://arxiv.org/abs/2402.04161)|[markov](https://github.com/bond1995/markov)|\n"}, "2024-02-08": {"2305.15371": "|[stochastic unrolled federated learning](https://arxiv.org/abs/2305.15371)|[fed-surf](https://github.com/smrhadou/fed-surf)|\n", "2402.04888": "|[rscnet: dynamic csi compression for cloud-based wifi sensing](https://arxiv.org/abs/2402.04888)|[rscnet](https://github.com/bornabr/rscnet)|\n"}, "2024-02-09": {"2305.05772": "|[spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds](https://arxiv.org/abs/2305.05772)|[alexsnn](https://github.com/lunglmayrmoser/alexsnn)|\n", "2402.05476": 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mri](https://arxiv.org/abs/2303.02586)|[cqnpcs_mrireco](https://github.com/hongtao-argmin/cqnpcs_mrireco)|\n", "2310.09940": "|[semi-supervised end-to-end learning for integrated sensing and communications](https://arxiv.org/abs/2310.09940)|[sslisac](https://github.com/josemateosramos/sslisac)|\n", "2402.12872": "|[deep, convergent, unrolled half-quadratic splitting for image deconvolution](https://arxiv.org/abs/2402.12872)|[decun](https://github.com/6zhc/decun)|\n", "2402.16563": "|[flexible robust beamforming for multibeam satellite downlink using reinforcement learning](https://arxiv.org/abs/2402.16563)|[2310_beamforming_learner_2](https://github.com/steffengra/2310_beamforming_learner_2)|\n", "2402.15635": "|[bagged deep image prior for recovering images in the presence of speckle noise](https://arxiv.org/abs/2402.15635)|[Bagged-DIP-Speckle](https://github.com/Computational-Imaging-RU/Bagged-DIP-Speckle)|\n"}, 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eeg](https://arxiv.org/abs/2311.03764)|[neurogpt](https://github.com/wenhui0206/neurogpt)|\n", "2403.01130": "|[arbitrary discrete fourier analysis and its application in replayed speech detection](https://arxiv.org/abs/2403.01130)|[adfa](https://github.com/shihkuanglee/adfa)|\n", "2403.01412": "|[lum-vit: learnable under-sampling mask vision transformer for bandwidth limited optical signal acquisition](https://arxiv.org/abs/2403.01412)|[lum-vit](https://github.com/maxllf/lum-vit)|\n", "2403.01913": "|[powerskel: a device-free framework using csi signal for human skeleton estimation in power station](https://arxiv.org/abs/2403.01913)|[ckdformer](https://github.com/power-operation/ckdformer)|\n", "2403.02080": "|[hybrid quantum neural network advantage for radar-based drone detection and classification in low signal-to-noise 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inference](https://arxiv.org/abs/2306.05186)|[InnovationProcessesInference](https://github.com/GiulioTani/InnovationProcessesInference)|\n", "2403.04778": "|[an efficient difference-of-convex solver for privacy funnel](https://arxiv.org/abs/2403.04778)|[dcaPF-torch](https://github.com/hui811116/dcaPF-torch)|\n"}, "2024-03-14": {"2305.06459": "|[slicertms: real-time visualization of transcranial magnetic stimulation for mental health treatment](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2309.07579": "|[structure-preserving transformers for sequences of spd matrices](https://arxiv.org/abs/2309.07579)|[spdtransnet](https://github.com/mathieuseraphim/spdtransnet)|\n"}, "2024-03-15": {"2209.10712": "|[compressing sign information in dct-based image coding via deep sign retrieval](https://arxiv.org/abs/2209.10712)|[dsr](https://github.com/ctsutake/dsr)|\n", "2302.02436": "|[uncertainty-aware and reliable neural mimo receivers via modular bayesian deep learning](https://arxiv.org/abs/2302.02436)|[bayesian-learning-for-receivers](https://github.com/tomerraviv95/bayesian-learning-for-receivers)|\n", "2305.03571": "|[model-free reinforcement learning of semantic communication by stochastic policy gradient](https://arxiv.org/abs/2305.03571)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", "2312.16024": "|[plug-and-play regularization on magnitude with deep priors for 3d near-field mimo imaging](https://arxiv.org/abs/2312.16024)|[PnP-Regularization-on-Magnitude](https://github.com/METU-SPACE-Lab/PnP-Regularization-on-Magnitude)|\n", "2403.07721": "|[visual decoding and reconstruction via eeg embeddings with guided diffusion](https://arxiv.org/abs/2403.07721)|[eeg_image_decode](https://github.com/dongyangli-del/eeg_image_decode)|\n", "2403.09004": "|[meta-learning-based fronthaul compression for cloud radio access networks](https://arxiv.org/abs/2403.09004)|[Meta-Learning-Fronthaul-Compression-CRAN](https://github.com/RuihuaQiao/Meta-Learning-Fronthaul-Compression-CRAN)|\n"}, "2024-03-16": {}, "2024-03-17": {}, "2024-03-18": {"2308.14512": "|[a time-causal and time-recursive analogue of the gabor transform](https://arxiv.org/abs/2308.14512)|[pygabor](https://github.com/tonylindeberg/pygabor)|\n", "2402.15011": "|[a conversational brain-artificial intelligence interface](https://arxiv.org/abs/2402.15011)|[eegchat](https://github.com/akmeunier/eegchat)|\n", "2309.01237": "|[the information geometry of umap](https://arxiv.org/abs/2309.01237)|[info-geometry-umap](https://github.com/sashakolpakov/info-geometry-umap)|\n"}, "2024-03-19": {"2309.08249": "|[deep nonnegative matrix factorization with beta 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acoustic waves in space-time](https://arxiv.org/abs/2403.11362)|[acha_sparsityanalysis](https://github.com/eliaszea/acha_sparsityanalysis)|\n", "2403.11405": "|[a deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm](https://arxiv.org/abs/2403.11405)|[ecgbeat4afsinus](https://github.com/leijsen/ecgbeat4afsinus)|\n", "2403.11531": "|[specific emitter identification handling modulation variation with margin disparity discrepancy](https://arxiv.org/abs/2403.11531)|[mdd-sei](https://github.com/zhangyezhuo/mdd-sei)|\n", "2305.11997": "|[robust counterfactual explanations for neural networks with probabilistic guarantees](https://arxiv.org/abs/2305.11997)|[TReX-Counterfactuals](https://github.com/FaisalHamman/TReX-Counterfactuals)|\n"}, "2024-03-20": {"2211.06705": "|[deep joint source-channel coding over cooperative relay 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novel predictive measure of transferability in multi-label ecg diagnosis](https://arxiv.org/abs/2311.04224)|[melep-ecg](https://github.com/cuongvng/melep-ecg)|\n", "2403.17042": "|[provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction](https://arxiv.org/abs/2403.17042)|[diffusion-plug-and-play](https://github.com/x1xu/diffusion-plug-and-play)|\n", "2405.04865": "|[regime learning for differentiable particle filters](https://arxiv.org/abs/2405.04865)|[Regime_Switching](https://github.com/John-JoB/Regime_Switching)|\n", "2405.05095": "|[approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators](https://arxiv.org/abs/2405.05095)|[pyscsp](https://github.com/tonylindeberg/pyscsp)|\n", "2406.07996": "|[semantic-aware resource allocation based on deep reinforcement learning for 5g-v2x 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algorithms](https://arxiv.org/abs/2402.18129)|[fairness-ib](https://github.com/lh218/fairness-ib)|\n"}, "2024-06-22": {}, "2024-06-23": {}, "2024-06-24": {"2303.03678": "|[a comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in ofdm systems](https://arxiv.org/abs/2303.03678)|[mimo_jcesd](https://github.com/j991222/mimo_jcesd)|\n", "2312.06637": "|[a geometry-based stochastic wireless channel model using channel images](https://arxiv.org/abs/2312.06637)|[geostochasticchanmodel](https://github.com/sk8053/geostochasticchanmodel)|\n"}, "2024-06-25": {"2308.02088": "|[motion-robust free-running volumetric cardiovascular mri](https://arxiv.org/abs/2308.02088)|[motion-robust-CMR](https://github.com/OSU-MR/motion-robust-CMR)|\n", "2311.11317": "|[discrete approximations of gaussian smoothing and gaussian 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tts](https://arxiv.org/abs/2409.05356)|[indicvoices-r](https://github.com/ai4bharat/indicvoices-r)|\n", "2410.04073": "|[widistill: distilling large-scale wi-fi datasets with trajectory matching](https://arxiv.org/abs/2410.04073)|[widistill](https://github.com/the-sky001/widistill)|\n", "2410.04653": "|[large-scale gnss spreading code optimization](https://arxiv.org/abs/2410.04653)|[decor](https://github.com/Stanford-NavLab/decor)|\n"}, "2024-10-07": {"2403.07721": "|[visual decoding and reconstruction via eeg embeddings with guided diffusion](https://arxiv.org/abs/2403.07721)|[eeg_image_decode](https://github.com/ncclab-sustech/eeg_image_decode)|\n", "2410.03280": "|[manikin-recorded cardiopulmonary sounds dataset using digital stethoscope](https://arxiv.org/abs/2410.03280)|[hls-cmds](https://github.com/torabiy/hls-cmds)|\n", "2408.15581": "|[an ebpf-based trace-driven emulation method for satellite 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charting-based channel prediction on real-world distributed massive mimo csi](https://arxiv.org/abs/2410.11486)|[channelcharting-channelprediction](https://github.com/phillipstephan/channelcharting-channelprediction)|\n", "2410.11583": "|[null models for comparing information decomposition across complex systems](https://arxiv.org/abs/2410.11583)|[numit](https://github.com/alberto-liardi/numit)|\n"}, "2024-10-17": {}, "2024-10-18": {}, "2024-10-19": {}, "2024-10-20": {}, "2024-10-21": {"2204.11146": "|[gabor is enough: interpretable deep denoising with a gabor synthesis dictionary prior](https://arxiv.org/abs/2204.11146)|[cdlnet-ojsp](https://github.com/nikopj/cdlnet-ojsp)|\n", "2405.09559": "|[kid-ppg: knowledge informed deep learning for extracting heart rate from a smartwatch](https://arxiv.org/abs/2405.09559)|[KID-PPG](https://github.com/esl-epfl/KID-PPG)|\n", "2407.04127": "|[biometric authentication based on enhanced remote photoplethysmography signal morphology](https://arxiv.org/abs/2407.04127)|[rppg_biometrics](https://github.com/zhaodongsun/rppg_biometrics)|\n", "2410.14639": "|[convergence of manifold filter-combine networks](https://arxiv.org/abs/2410.14639)|[mfcn](https://github.com/dj408/mfcn)|\n", "2408.05617": "|[residual-inr: communication efficient on-device learning using implicit neural representation](https://arxiv.org/abs/2408.05617)|[residual-inr](https://github.com/sharc-lab/residual-inr)|\n"}, "2024-10-22": {"2210.15793": "|[conditioning and sampling in variational diffusion models for speech super-resolution](https://arxiv.org/abs/2210.15793)|[diffwave-sr](https://github.com/yoyololicon/diffwave-sr)|\n", "2302.02436": "|[uncertainty-aware and reliable neural mimo receivers via modular bayesian deep 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filters](https://arxiv.org/abs/2407.05717)|[a-new-framework-for-nonlinear-kalman-filters](https://github.com/shida-jiang/a-new-framework-for-nonlinear-kalman-filters)|\n", "2409.19939": "|[upper limb surface electromyography -- geometry, spectral characteristics, temporal evolution, and demographic confounds](https://arxiv.org/abs/2409.19939)|[wristEMG](https://github.com/HarshavardhanaTG/wristEMG)|\n", "2410.06389": "|[generative artificial intelligence (gai) for mobile communications: a diffusion model perspective](https://arxiv.org/abs/2410.06389)|[gai_comm](https://github.com/xiaoxiaxusummer/gai_comm)|\n", "2410.10741": "|[sensorbench: benchmarking llms in coding-based sensor processing](https://arxiv.org/abs/2410.10741)|[llm_sensor_processing](https://github.com/nesl/llm_sensor_processing)|\n", "2410.14800": "|[unlocking the full potential of high-density surface emg: novel non-invasive high-yield motor unit 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through generative diffusion model-based multi-channel eeg signals forecasting](https://arxiv.org/abs/2410.17343)|[eeg-dif](https://github.com/jzk00/eeg-dif)|\n"}, "2024-10-25": {"2309.15507": "|[approximate message passing with rigorous guarantees for pooled data and quantitative group testing](https://arxiv.org/abs/2309.15507)|[amp_pooled_qgt](https://github.com/pablopasc/amp_pooled_qgt)|\n", "2405.19366": "|[ecg semantic integrator (esi): a foundation ecg model pretrained with llm-enhanced cardiological text](https://arxiv.org/abs/2405.19366)|[esi](https://github.com/comp-well-org/esi)|\n", "2410.18628": "|[wavetable synthesis using cvae for timbre control based on semantic label](https://arxiv.org/abs/2410.18628)|[wavetablecvae](https://github.com/tsugumasa320/wavetablecvae)|\n", "2305.16446": "|[the representation jensen-shannon 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smart infrastructure](https://arxiv.org/abs/2112.06651)|[acconotate](https://github.com/stilllearningsoumya/acconotate)|\n", "2201.05745": "|[deep optimal transport for domain adaptation on spd manifolds](https://arxiv.org/abs/2201.05745)|[deep-optimal-transport-for-domain-adaptation-on-spd-manifolds](https://github.com/geometricbci/deep-optimal-transport-for-domain-adaptation-on-spd-manifolds)|\n", "2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n", "2302.11385": "|[reconfigurable massive mimo: harnessing the power of the electromagnetic domain for enhanced information transfer](https://arxiv.org/abs/2302.11385)|[r-mmimo](https://github.com/kekeyingbit/r-mmimo)|\n", "2303.05043": "|[invertible kernel pca with random fourier 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receivers](https://arxiv.org/abs/2308.11335)|[GNN-enhanced-EP-for-Turbo-MIMO](https://github.com/STARainZ/GNN-enhanced-EP-for-Turbo-MIMO)|\n", "2312.06849": "|[deep learning based modeling of wireless communication channel with fading](https://arxiv.org/abs/2312.06849)|[Deep-Learning-based-Modeling-of-Wireless-Communication-Channel-with-Fading](https://github.com/BrightBlueCheese/Deep-Learning-based-Modeling-of-Wireless-Communication-Channel-with-Fading)|\n", "2402.00878": "|[radio map estimation -- an open dataset with directive transmitter antennas and initial experiments](https://arxiv.org/abs/2402.00878)|[rml](https://github.com/fabja19/rml)|\n", "2402.00879": "|[graph representation learning for contention and interference management in wireless networks](https://arxiv.org/abs/2402.00879)|[ac-grl-wi-fi](https://github.com/zhouyou-gu/ac-grl-wi-fi)|\n", "2406.01342": "|[polyclean: atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry](https://arxiv.org/abs/2406.01342)|[polyclean](https://github.com/AdriaJ/polyclean)|\n", "2212.02448": "|[the multi-cluster fluctuating two-ray fading model](https://arxiv.org/abs/2212.02448)|[mftr-fading-channel-model](https://github.com/josedavidvega/mftr-fading-channel-model)|\n", "2308.13858": "|[a spatially non-stationary fading channel model for simulation and (semi-) analytical study of elaa-mimo](https://arxiv.org/abs/2308.13858)|[non-stationary-fading-channel-model](https://github.com/elaa-mimo/non-stationary-fading-channel-model)|\n", "2402.06919": "|[treet: transfer entropy estimation via transformer](https://arxiv.org/abs/2402.06919)|[treet](https://github.com/omerlux/treet)|\n"}, "2024-10-29": {"2410.19739": "|[the effect of acute stress on the interpretability and generalization of schizophrenia predictive machine learning 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domain-adaptive semg-based gesture recognition with jaccard attentive spiking neural network](https://arxiv.org/abs/2405.14398)|[spgesture](https://github.com/guoweiyu/spgesture)|\n", "2410.22774": "|[unfolding target detection with state space model](https://arxiv.org/abs/2410.22774)|[neurodet](https://github.com/aiot-lab/neurodet)|\n", "2410.22967": "|[dynamic threshold-based two-layer online unsupervised anomaly detector](https://arxiv.org/abs/2410.22967)|[adaptive-nad](https://github.com/mylearncodespace/adaptive-nad)|\n", "2410.22784": "|[contrastive learning and adversarial disentanglement for privacy-preserving task-oriented semantic communications](https://arxiv.org/abs/2410.22784)|[clad](https://github.com/omarerak/clad)|\n", "2410.22887": "|[generalization bounds via conditional 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networks](https://arxiv.org/abs/2411.04570)|[S2-GNN](https://github.com/jhonygiraldo/S2-GNN)|\n", "2411.04672": "|[semantic-aware resource management for c-v2x platooning via multi-agent reinforcement learning](https://arxiv.org/abs/2411.04672)|[semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning](https://github.com/qiongwu86/semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning)|\n", "2411.04753": "|[efficient channel estimation with shorter pilots in ris-aided communications: using array geometries and interference statistics](https://arxiv.org/abs/2411.04753)|[RIS-shorter-pilots](https://github.com/ozlemtugfedemir/RIS-shorter-pilots)|\n"}, "2024-11-09": {}, "2024-11-10": {}, "2024-11-11": {"2211.03171": "|[pan-tompkins++: a robust approach to detect r-peaks in ecg 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end-to-end eeg decoding](https://arxiv.org/abs/2212.10426)|[eegspdnet](https://github.com/dcwil/eegspdnet)|\n", "2304.10858": "|[orchestration framework for open system models with autonomous riss and oblivious base stations](https://arxiv.org/abs/2304.10858)|[self-configuring-orchestration](https://github.com/victorcroisfelt/self-configuring-orchestration)|\n", "2305.20025": "|[mutual information estimation via $f$-divergence and data derangements](https://arxiv.org/abs/2305.20025)|[fdime](https://github.com/tonellolab/fdime)|\n", "2407.03261": "|[magnetic hysteresis modeling with neural operators](https://arxiv.org/abs/2407.03261)|[magnetic_hysteresis_neural_operator](https://github.com/chandratue/magnetic_hysteresis_neural_operator)|\n", "2411.06572": "|[fitting multiple machine learning models with performance based clustering](https://arxiv.org/abs/2411.06572)|[function-clustering](https://github.com/mefe06/function-clustering)|\n", "2411.06925": "|[deepcrf: deep learning-enhanced csi-based rf fingerprinting for channel-resilient wifi device identification](https://arxiv.org/abs/2411.06925)|[DeepCRF_TIFS](https://github.com/Oriseven/DeepCRF_TIFS)|\n", "2204.09938": "|[ultra-marginal feature importance: learning from data with causal guarantees](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/hydroml/umfi)|\n", "2405.20782": "|[universal exact compression of differentially private mechanisms](https://arxiv.org/abs/2405.20782)|[poissonprivaterepr](https://github.com/cheuktingli/poissonprivaterepr)|\n", "2411.06508": "|[understanding the role of equivariance in self-supervised learning](https://arxiv.org/abs/2411.06508)|[understanding-essl](https://github.com/kaotty/understanding-essl)|\n"}, "2024-11-13": {"2404.08061": 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