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ICML 2024 paper list for Ai4Sci

Category Title Conference Note
protein Kernel-Based Evaluation of Conditional Biological Sequence Models ICML24
protein Diffusion Language Models Are Versatile Protein Learners ICML24
protein CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model ICML24
protein Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints ICML24
protein Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization ICML24
protein Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning ICML24
protein Protein Conformation Generation via Force-Guided SE(3) Diffusion Models ICML24
protein Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates ICML24
protein Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML24
protein Feedback Efficient Online Fine-Tuning of Diffusion Models ICML24
protein Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML24
protein Prospector Heads: Generalized Feature Attribution for Large Models & Data ICML24
protein Network Tight Community Detection ICML24
protein Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models ICML24
protein Evolution-Inspired Loss Functions for Protein Representation Learning ICML24
protein FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames ICML24 Spotlight
protein Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains ICML24
protein Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML24
protein Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space ICML24 Spotlight
protein SurfPro: Functional Protein Design Based on Continuous Surface ICML24
protein ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling ICML24
protein CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes ICML24
protein Floating Anchor Diffusion Model for Multi-motif Scaffolding ICML24
protein Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design ICML24
protein Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency ICML24
protein Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation ICML24
protein Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML24
protein Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design ICML24
molecul Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks ICML24
molecul Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective ICML24
molecul Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction ICML24
molecul Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation ICML24
molecul Interpreting Equivariant Representations ICML24
molecul Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers ICML24
molecul Data-Efficient Molecular Generation with Hierarchical Textual Inversion ICML24
molecul Generative Marginalization Models ICML24
molecul Expressivity and Generalization: Fragment-Biases for Molecular GNNs ICML24 Oral
molecul Joint Composite Latent Space Bayesian Optimization ICML24
molecul Representing Molecules as Random Walks Over Interpretable Grammars ICML24 Spotlight
molecul Weisfeiler Leman for Euclidean Equivariant Machine Learning ICML24
molecul D-Flow: Differentiating through Flows for Controlled Generation ICML24
molecul DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents ICML24
molecul Diffusive Gibbs Sampling ICML24
molecul Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge ICML24 Spotlight
molecul Aligning Transformers with Weisfeiler-Leman ICML24
molecul Topological Neural Networks go Persistent, Equivariant, and Continuous ICML24
molecul Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence ICML24 Spotlight
molecul Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations ICML24
molecul Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction ICML24
molecul UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning ICML24
molecul A Graph is Worth Words: Euclideanizing Graph using Pure Transformer ICML24
molecul Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML24
molecul On the Generalization of Equivariant Graph Neural Networks ICML24
molecul Solving Poisson Equations using Neural Walk-on-Spheres ICML24
molecul LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ICML24
molecul Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces ICML24
molecul Graph Generation with Diffusion Mixture ICML24
molecul Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML24
molecul GeoMFormer: A General Architecture for Geometric Molecular Representation Learning ICML24
molecul Swallowing the Bitter Pill: Simplified Scalable Conformer Generation ICML24
molecul Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models ICML24 Oral
molecul Projecting Molecules into Synthesizable Chemical Spaces ICML24
drug Entropy-Reinforced Planning with Large Language Models for Drug Discovery ICML24
drug Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process ICML24
drug Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design ICML24
drug Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants ICML24
drug MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space ICML24
drug Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion ICML24
drug WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer ICML24
drug Full-Atom Peptide Design based on Multi-modal Flow Matching ICML24
drug PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching ICML24
drug Predicting Dose-Response Curves with Deep Neural Networks ICML24
drug Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains ICML24
drug Quantum Theory and Application of Contextual Optimal Transport ICML24
drug Structure-based drug design by denoising voxel grids ICML24
drug Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design ICML24
drug EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML24 Oral
drug Improving Antibody Humanness Prediction using Patent Data ICML24
drug Drug Discovery with Dynamic Goal-aware Fragments ICML24
drug Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation ICML24
materials Language Models as Science Tutors ICML24
materials Unveiling the Potential of AI for Nanomaterial Morphology Prediction ICML24
materials Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML24
materials Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity ICML24
materials Copyright Traps for Large Language Models ICML24
materials Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML24
materials FlowMM: Generating Materials with Riemannian Flow Matching ICML24
materials Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy ICML24 Oral
materials PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling ICML24
materials Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML24
materials Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML24
materials A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction ICML24
materials A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? ICML24
materials Outlier-aware Slicing for Post-Training Quantization in Vision Transformer ICML24
materials INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer ICML24
DNA Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling ICML24
DNA DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation ICML24
DNA Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs ``Difficult" Downstream Tasks in LLMs ICML24
DNA Dirichlet Flow Matching with Applications to DNA Sequence Design ICML24
DNA DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML24
RNA RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching ICML24
RNA Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency ICML24
RNA Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem ICML24
RNA Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective ICML24
conformation AlphaFold Meets Flow Matching for Generating Protein Ensembles ICML24 Oral
electronic Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast ICML24
electronic BetterV: Controlled Verilog Generation with Discriminative Guidance ICML24
electronic LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits ICML24
electronic Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics ICML24
electronic Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources ICML24
chemical Structured Chemistry Reasoning with Large Language Models ICML24
chemical CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback ICML24
chemical Learning Surrogates for Offline Black-Box Optimization via Gradient Matching ICML24
chemical E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML24
chemical Learning to Scale Logits for Temperature-Conditional GFlowNets ICML24
chemical OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning ICML24
chemical Gaussian Plane-Wave Neural Operator for Electron Density Estimation ICML24
chemical The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning ICML24