HEPML.bib

# HEPML Papers

% April 21, 2020
@article{Romao:2020ojy,
    author = "Romao, M. Crispim and Castro, N.F. and Milhano, J.G. and Pedro, R. and Vale, T.",
    archivePrefix = "arXiv",
    eprint = "2004.09360",
    month = "4",
    primaryClass = "hep-ph",
    title = "{Use of a Generalized Energy Mover's Distance in the Search for Rare Phenomena at Colliders}",
    year = "2020"
}

% March 13, 2020
@article{Kanwar:2003.06413,
      key            = "1785309",
      author         = "Kanwar, Gurtej and Albergo, Michael S. and Boyda, Denis
                        and Cranmer, Kyle and Hackett, Daniel C. and Racanière,
                        Sébastien and Rezende, Danilo Jimenez and Shanahan,
                        Phiala E.",
      title          = "{Equivariant flow-based sampling for lattice gauge
                        theory}",
      year           = "2020",
      eprint         = "2003.06413",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-lat",
      reportNumber   = "MIT-CTP/5181",
      SLACcitation   = "%%CITATION = ARXIV:2003.06413;%%"
}

% February 11, 2020
@article{Hollingsworth:2020kjg,
      author         = "Hollingsworth, Jacob and Whiteson, Daniel",
      title          = "{Resonance Searches with Machine Learned Likelihood
                        Ratios}",
      year           = "2020",
      eprint         = "2002.04699",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:2002.04699;%%"
}

% February 3, 2020
@article{Strong:2020mge,
      author         = "Strong, Giles Chatham",
      title          = "{On the impact of modern deep-learning techniques to the
                        performance and time-requirements of classification models
                        in experimental high-energy physics}",
      year           = "2020",
      eprint         = "2002.01427",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:2002.01427;%%"
}

% December 9, 2019
@article{Romao:2019dvs,
    author = "Romão Crispim, M. and Castro, N.F. and Pedro, R. and Vale, T.",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.101.035042",
    eprint = "1912.04220",
    journal = "Phys.\ Rev.\ D",
    number = "3",
    pages = "035042",
    primaryClass = "hep-ph",
    title = "{Transferability of Deep Learning Models in Searches for New Physics at Colliders}",
    volume = "101",
    year = "2020"
}

% November 20, 2019
@article{Andreassen:2019cjw,
      author         = "Andreassen, Anders and Komiske, Patrick T. and Metodiev,
                        Eric M. and Nachman, Benjamin and Thaler, Jesse",
      title          = "{OmniFold: A Method to Simultaneously Unfold All
                        Observables}",
      year           = "2019",
      eprint         = "1911.09107",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "MIT-CTP 5155",
      SLACcitation   = "%%CITATION = ARXIV:1911.09107;%%"
}

% October 18, 2019
@article{Nachman:2019yfl,
      author         = "Nachman, Benjamin and Shimmin, Chase",
      title          = "{AI Safety for High Energy Physics}",
      year           = "2019",
      eprint         = "1910.08606",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1910.08606;%%"
}

% May 28, 2019
@article{Borisyak:2019vbz,
      author         = "Borisyak, Maxim and Kazeev, Nikita",
      title          = "{Machine Learning on data with sPlot background
                        subtraction}",
      year           = "2019",
      eprint         = "1905.11719",
      archivePrefix  = "arXiv",
      primaryClass   = "cs.LG",
      SLACcitation   = "%%CITATION = ARXIV:1905.11719;%%"
}

% May 19, 2019
@article{Caron:2019xkx,
      author         = "Caron, Sascha and Heskes, Tom and Otten, Sydney and
                        Stienen, Bob",
      title          = "{Constraining the Parameters of High-Dimensional Models
                        with Active Learning}",
      journal        = "Eur. Phys. J.",
      volume         = "C79",
      year           = "2019",
      number         = "11",
      pages          = "944",
      doi            = "10.1140/epjc/s10052-019-7437-5",
      eprint         = "1905.08628",
      archivePrefix  = "arXiv",
      primaryClass   = "cs.LG",
      SLACcitation   = "%%CITATION = ARXIV:1905.08628;%%"
}

% March 6, 2019
@article{DiSipio:2019imz,
      author         = "Di Sipio, Riccardo and Faucci Giannelli, Michele and
                        Ketabchi Haghighat, Sana and Palazzo, Serena",
      title          = "{DijetGAN: A Generative-Adversarial Network Approach for
                        the Simulation of QCD Dijet Events at the LHC}",
      year           = "2019",
      eprint         = "1903.02433",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1903.02433;%%"
}

% February 19, 2019
@article{Datta:2019,
      key            = "1720832",
      author         = "Datta, Kaustuv and Larkoski, Andrew and Nachman,
                        Benjamin",
      title          = "{Automating the Construction of Jet Observables with
                        Machine Learning}",
      year           = "2019",
      eprint         = "1902.07180",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1902.07180;%%"
}

% August 22, 2018
@article{Adams:2018bvi,
      author         = "Adams, C. and others",
      title          = "{Deep neural network for pixel-level electromagnetic
                        particle identification in the MicroBooNE liquid argon
                        time projection chamber}",
      collaboration  = "MicroBooNE",
      journal        = "Phys. Rev.",
      volume         = "D99",
      year           = "2019",
      number         = "9",
      pages          = "092001",
      doi            = "10.1103/PhysRevD.99.092001",
      eprint         = "1808.07269",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      reportNumber   = "FERMILAB-PUB-18-231-ND",
      SLACcitation   = "%%CITATION = ARXIV:1808.07269;%%"
}

% August 2, 2018
@article{Stoye:2018ovl,
      author         = "Stoye, Markus and Brehmer, Johann and Louppe, Gilles and
                        Pavez, Juan and Cranmer, Kyle",
      title          = "{Likelihood-free inference with an improved cross-entropy
                        estimator}",
      year           = "2018",
      eprint         = "1808.00973",
      archivePrefix  = "arXiv",
      primaryClass   = "stat.ML",
      SLACcitation   = "%%CITATION = ARXIV:1808.00973;%%"
}

% August 2, 2018
@article{Bourgeois:2018nvk,
      author         = "Bourgeois, Dylan and Fitzpatrick, Conor and Stahl,
                        Sascha",
      title          = "{Using holistic event information in the trigger}",
      year           = "2018",
      eprint         = "1808.00711",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.ins-det",
      reportNumber   = "LHCb-PUB-2018-010",
      SLACcitation   = "%%CITATION = ARXIV:1808.00711;%%"
}

% July 31, 2018
@article{Andrews:2018nwy,
      author         = "Andrews, Michael and Paulini, Manfred and Gleyzer, Sergei
                        and Poczos, Barnabas",
      title          = "{End-to-End Physics Event Classification with the CMS
                        Open Data: Applying Image-based Deep Learning on Detector
                        Data to Directly Classify Collision Events at the LHC}",
      year           = "2018",
      eprint         = "1807.11916",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1807.11916;%%"
}

% July 27, 2018
@article{Lin:2018cin,
      author         = "Lin, Joshua and Freytsis, Marat and Moult, Ian and
                        Nachman, Benjamin",
      title          = "{Boosting $H\to b\bar b$ with Machine Learning}",
      year           = "2018",
      eprint         = "1807.10768",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1807.10768;%%"
}

% July 8, 2018
@article{Albertsson:2018maf,
      author         = "Albertsson, Kim and others",
      title          = "{Machine Learning in High Energy Physics Community White Paper}",
      year           = "2018",
      eprint         = "1807.02876",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.comp-ph",
      reportNumber   = "FERMILAB-PUB-18-318-CD-DI-PPD",
      SLACcitation   = "%%CITATION = ARXIV:1807.02876;%%"
}

% June 29, 2018
@article{Guest:2018yhq,
      author         = "Guest, Dan and Cranmer, Kyle and Whiteson, Daniel",
      title          = "{Deep Learning and its Application to LHC Physics}",
      year           = "2018",
      eprint         = "1806.11484",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1806.11484;%%"
}

% April 30, 2018
@article{Brehmer:2018kdj,
author         = "Brehmer, Johann and Cranmer, Kyle and Louppe, Gilles and
                  Pavez, Juan",
title          = "{Constraining Effective Field Theories with Machine
                  Learning}",
year           = "2018",
eprint         = "1805.00013",
archivePrefix  = "arXiv",
primaryClass   = "hep-ph",
SLACcitation   = "%%CITATION = ARXIV:1805.00013;%%"
}

% April 30, 2018
@article{Brehmer:2018eca,
author         = "Brehmer, Johann and Cranmer, Kyle and Louppe, Gilles and
                  Pavez, Juan",
title          = "{A Guide to Constraining Effective Field Theories with
                  Machine Learning}",
year           = "2018",
eprint         = "1805.00020",
archivePrefix  = "arXiv",
primaryClass   = "hep-ph",
SLACcitation   = "%%CITATION = ARXIV:1805.00020;%%"
}

% December 19, 2017
@article{Sirunyan:2017ezt,
 author         = "Sirunyan, Albert M and others",
 title          = "{Identification of heavy-flavour jets with the CMS
 detector in pp collisions at 13 TeV}",
 collaboration  = "CMS",
 year           = "2017",
 eprint         = "1712.07158",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.ins-det",
 reportNumber   = "CMS-BTV-16-002, CERN-EP-2017-326",
 SLACcitation   = "%%CITATION = ARXIV:1712.07158;%%"
}

% December 8, 2017
@conference{Estrade:DLPS2017,
 author         = "Victor Estrade and Cecile Germain and Isabelle Guyon and David Rousseau",
 title          = "{Adversarial learning to eliminate systematic errors: a case study
 in High Energy Physics}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_1.pdf}"
}

% December 8, 2017
@conference{Weitekamp:DLPS2017,
 author         = "Daniel Weitekamp III and Thong Q. Nguyen and Dustin Anderson and
 Roberto Castello and Maurizio Pierini and Maria Spiropulu and Jean-Roch Vlimant",
 title          = "{Deep topology classifiers for a more efficient trigger selection at the LHC}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_3.pdf}"
}

% December 8, 2017
@conference{Hertel:DLPS2017,
 author         = "Lars Hertel and Lingge Li and Pierre Baldi and Jianming Bian",
 title          = "{Convolutional Neural Networks for Electron Neutrino and Electron
  Shower Energy Reconstruction in the NO$\nu$A Detectors}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_7.pdf}"
}

% December 8, 2017
@conference{Stoye:DLPS2017,
 author         = "Markus Stoye and Jan Kieseler and Mauro Verzetti and Huilin Qu and
 Loukas Gouskos and Anna Stakia and {CMS Collaboration}",
 title          = "{DeepJet: Generic physics object based jet multiclass classification
 for LHC experiments}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_10.pdf}"
}

% December 8, 2017
@conference{Hooberman:DLPS2017,
 author         = "Benjamin Hooberman and Amir Farbin and Gulrukh Khattak and Vit{\'o}ria Pacela
 and Maurizio Pierini and Jean-Roch Vlimant and Maria Spiropulu and Wei Wei and Matt Zhang
 and Sofia Vallecorsa",
 title          = "{Calorimetry with Deep Learning: Particle Classification, Energy Regression,
 and Simulation for High-Energy Physics}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_15.pdf}"
}

% December 8, 2017
@conference{Paganini:DLPS2017,
 author         = "Paganini, Michela and de Oliveira, Luke and Nachman,
 Benjamin",
 title          = "{Survey of Machine Learning Techniques for High Energy
 Electromagnetic Shower Classification}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_24.pdf}"
}

% December 8, 2017
@conference{Oliveira:DLPS2017,
 author         = "de Oliveira, Luke and Paganini, Michela and Nachman, Benjamin",
 title          = "{Tips and Tricks for Training GANs with Physics Constraints}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_26.pdf}"
}

% December 8, 2017
@conference{Farrell:DLPS2017,
 author         = "Steven Farrell and Paolo Calafiura and Mayur Mudigonda and Prabhat
 and Dustin Anderson and Josh Bendavid and Maria Spiropoulou and Jean-Roch Vlimant
 and Stephan Zheng and Giuseppe Cerati and Lindsey Gray and Jim Kowalkowski
 and Panagiotis Spentzouris and Aristeidis Tsaris and Daniel Zurawski",
 title          = "{Particle Track Reconstruction with Deep Learning}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_28.pdf}"
}

% December 8, 2017
@conference{Henrion:DLPS2017,
 author         = "Isaac Henrion and Kyle Cranmer and Joan Bruna and Kyunghyun Cho
 and Johann Brehmer and Gilles Louppe and Gaspar Rochette",
 title          = "{Neural Message Passing for Jet Physics}",
 booktitle      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "{https://dl4physicalsciences.github.io/files/nips_dlps_2017_29.pdf}"
}

% November 7, 2017
@article{Cheng:2017rdo,
 author         = "Cheng, Taoli",
 title          = "{Recursive Neural Networks in Quark/Gluon Tagging}",
 year           = "2017",
 eprint         = "1711.02633",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
 SLACcitation   = "%%CITATION = ARXIV:1711.02633;%%"
}

% September 28, 2017
@article{Chang:2017kvc,
  author         = "Chang, Spencer and Cohen, Timothy and Ostdiek, Bryan",
  title          = "{What is the Machine Learning?}",
  journal        = "Phys. Rev.",
  volume         = "D97",
  year           = "2018",
  number         = "5",
  pages          = "056009",
  doi            = "10.1103/PhysRevD.97.056009",
  eprint         = "1709.10106",
  archivePrefix  = "arXiv",
  primaryClass   = "hep-ph",
  SLACcitation   = "%%CITATION = ARXIV:1709.10106;%%"
}

% September 17, 2017
@article{Frate:2017mai,
 author         = "Frate, Meghan and Cranmer, Kyle and Kalia, Saarik and
 Vandenberg-Rodes, Alexander and Whiteson, Daniel",
 title          = "{Modeling Smooth Backgrounds and Generic Localized
 Signals with Gaussian Processes}",
 year           = "2017",
 eprint         = "1709.05681",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.data-an",
 SLACcitation   = "%%CITATION = ARXIV:1709.05681;%%"
}

% August 9, 2017
@article{Metodiev:2017vrx,
 author         = "Metodiev, Eric M. and Nachman, Benjamin and Thaler,
 Jesse",
 title          = "{Classification without labels: Learning from mixed
 samples in high energy physics}",
 year           = "2017",
 eprint         = "1708.02949",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
 reportNumber   = "MIT--CTP-4922",
 SLACcitation   = "%%CITATION = ARXIV:1708.02949;%%"
}

% June 30, 2017
@article{Bendavid:2017zhk,
 author         = "Bendavid, Joshua",
 title          = "{Efficient Monte Carlo Integration Using Boosted Decision
 Trees and Generative Deep Neural Networks}",
 year           = "2017",
 eprint         = "1707.00028",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% June 28, 2017
@article{Cohen:2017exh,
 author         = "Cohen, Timothy and Freytsis, Marat and Ostdiek, Bryan",
 title          = "{(Machine) Learning to Do More with Less}",
 year           = "2017",
 eprint         = "1706.09451",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% May 5, 2017
@article{Paganini:2017hrr,
 author         = "Paganini, Michela and de Oliveira, Luke and Nachman,
 Benjamin",
 title          = "{CaloGAN: Simulating 3D High Energy Particle Showers in
  Multi-Layer Electromagnetic Calorimeters with Generative
 Adversarial Networks}",
 year           = "2017",
 eprint         = "1705.02355",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
}

% April 24, 2017
@article{Caron:2017hku,
 author = {Caron, Sascha and Kim, Jong Soo and Rolbiecki, Krzysztof and de Austri, Roberto Ruiz and Stienen, Bob},
 doi = {10.1140/epjc/s10052-017-4814-9},
 issn = {1434-6052},
 journal = {The European Physical Journal C},
 number = {4},
 pages = {257},
 title = {The BSM-AI project: SUSY-AI--generalizing LHC limits on supersymmetry with machine learning},
 url = {http://dx.doi.org/10.1140/epjc/s10052-017-4814-9},
 volume = {77},
 year = {2017},
 bdsk-url-1 = {http://dx.doi.org/10.1140/epjc/s10052-017-4814-9}
}

% March 9, 2017
@article{Shimmin:2017mfk,
 author         = "Shimmin, Chase and Sadowski, Peter and Baldi, Pierre and
 Weik, Edison and Whiteson, Daniel and Goul, Edward and
 Søgaard, Andreas",
 title          = "{Decorrelated Jet Substructure Tagging using Adversarial
 Neural Networks}",
 year           = "2017",
 eprint         = "1703.03507",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
}

% February 2, 2017
@article{Louppe:2017ipp,
 author         = "Louppe, Gilles and Cho, Kyunghyun and Becot, Cyril and
 Cranmer, Kyle",
 title          = "{QCD-Aware Recursive Neural Networks for Jet Physics}",
 year           = "2017",
 eprint         = "1702.00748",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% February 1, 2017
@article{Dery:2017fap,
 author         = "Dery, Lucio Mwinmaarong and Nachman, Benjamin and Rubbo,
 Francesco and Schwartzman, Ariel",
 title          = "{Weakly Supervised Classification in High Energy
 Physics}",
 journal        = "JHEP",
 volume         = "05",
 year           = "2017",
 pages          = "145",
 doi            = "10.1007/JHEP05(2017)145",
 eprint         = "1702.00414",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% January 20, 2017
@article{deOliveira:2017pjk,
 author         = "de Oliveira, Luke and Paganini, Michela and Nachman,
 Benjamin",
 title          = "{Learning Particle Physics by Example: Location-Aware
 Generative Adversarial Networks for Physics Synthesis}",
 year           = "2017",
 eprint         = "1701.05927",
 archivePrefix  = "arXiv",
 primaryClass   = "stat.ML",
}

% December 13, 2016
@article{Pang:2016vdc,
 author         = "Pang, Long-Gang and Zhou, Kai and Su, Nan and Petersen,
 Hannah and Stöcker, Horst and Wang, Xin-Nian",
 title          = "{An EoS-meter of QCD transition from deep learning}",
 year           = "2016",
 eprint         = "1612.04262",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% December 5, 2016
@article{Komiske:2016rsd,
 author         = "Komiske, Patrick T. and Metodiev, Eric M. and Schwartz,
 Matthew D.",
 title          = "{Deep learning in color: towards automated quark/gluon
 jet discrimination}",
 journal        = "JHEP",
 volume         = "01",
 year           = "2017",
 pages          = "110",
 doi            = "10.1007/JHEP01(2017)110",
 eprint         = "1612.01551",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
 reportNumber   = "MIT-CTP-4866",
}

% November 16, 2016
@article{Acciarri:2016ryt,
 author         = "Acciarri, R. and others",
 title          = "{Convolutional Neural Networks Applied to Neutrino Events
 in a Liquid Argon Time Projection Chamber}",
 collaboration  = "MicroBooNE",
 journal        = "JINST",
 volume         = "12",
 year           = "2017",
 number         = "03",
 pages          = "P03011",
 doi            = "10.1088/1748-0221/12/03/P03011",
 eprint         = "1611.05531",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.ins-det",
 reportNumber   = "FERMILAB-PUB-16-538-ND",
}

% November 15, 2016
@article{Kagan:2016wnu,
 author         = "Kagan, Michael and Oliveira, Luke de and Mackey, Lester
 and Nachman, Benjamin and Schwartzman, Ariel",
 title          = "{Boosted Jet Tagging with Jet-Images and Deep Neural
 Networks}",
 booktitle      = "{Proceedings, Connecting The Dots 2016: Vienna, Austria,
 February 22-24, 2016}",
 journal        = "EPJ Web Conf.",
 volume         = "127",
 year           = "2016",
 pages          = "00009",
 doi            = "10.1051/epjconf/201612700009",
}

% November 8, 2016
@article{Bertone:2016mdy,
 author         = "Bertone, Gianfranco and Deisenroth, Marc Peter and Kim,
 Jong Soo and Liem, Sebastian and Ruiz de Austri, Roberto
 and Welling, Max",
 title          = "{Accelerating the BSM interpretation of LHC data with
 machine learning}",
 year           = "2016",
 eprint         = "1611.02704",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% November 3, 2016
@article{Louppe:2016ylz,
 author         = "Louppe, Gilles and Kagan, Michael and Cranmer, Kyle",
 title          = "{Learning to Pivot with Adversarial Networks}",
 year           = "2016",
 eprint         = "1611.01046",
 archivePrefix  = "arXiv",
 primaryClass   = "stat.ME",
}

% September 2, 2016
@article{Barnard:2016qma,
 author         = "Barnard, James and Dawe, Edmund Noel and Dolan, Matthew
 J. and Rajcic, Nina",
 title          = "{Parton Shower Uncertainties in Jet Substructure Analyses
 with Deep Neural Networks}",
 journal        = "Phys. Rev.",
 volume         = "D95",
 year           = "2017",
 number         = "1",
 pages          = "014018",
 doi            = "10.1103/PhysRevD.95.014018",
 eprint         = "1609.00607",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% August 20, 2016
@article{Rogozhnikov:2016bdp,
 author         = "Rogozhnikov, A.",
 title          = "{Reweighting with Boosted Decision Trees}",
 booktitle      = "{Proceedings, 17th International Workshop on Advanced
  Computing and Analysis Techniques in Physics Research
 (ACAT 2016): Valparaiso, Chile, January 18-22, 2016}",
 journal        = "J. Phys. Conf. Ser.",
 volume         = "762",
 year           = "2016",
 number         = "1",
 pages          = "012036",
 doi            = "10.1088/1742-6596/762/1/012036",
 eprint         = "1608.05806",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.data-an",
 SLACcitation   = "%%CITATION = ARXIV:1608.05806;%%"
}

% July 28, 2016
@article{Guest:2016iqz,
      author         = "Guest, Daniel and Collado, Julian and Baldi, Pierre and
                        Hsu, Shih-Chieh and Urban, Gregor and Whiteson, Daniel",
      title          = "{Jet Flavor Classification in High-Energy Physics with
                        Deep Neural Networks}",
      journal        = "Phys. Rev.",
      volume         = "D94",
      year           = "2016",
      number         = "11",
      pages          = "112002",
      doi            = "10.1103/PhysRevD.94.112002",
      eprint         = "1607.08633",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1607.08633;%%"
}

% April 5, 2016
@article{Aurisano:2016jvx,
 author         = "Aurisano, A. and Radovic, A. and Rocco, D. and Himmel, A.
 and Messier, M. D. and Niner, E. and Pawloski, G. and
 Psihas, F. and Sousa, A. and Vahle, P.",
 title          = "{A Convolutional Neural Network Neutrino Event
 Classifier}",
 journal        = "JINST",
 volume         = "11",
 year           = "2016",
 number         = "09",
 pages          = "P09001",
 doi            = "10.1088/1748-0221/11/09/P09001",
 eprint         = "1604.01444",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
 reportNumber   = "FERMILAB-PUB-16-082-ND",
}

% January 28, 2016
@article{Baldi:2016fzo,
 author         = "Baldi, Pierre and Cranmer, Kyle and Faucett, Taylor and
 Sadowski, Peter and Whiteson, Daniel",
 title          = "{Parameterized neural networks for high-energy physics}",
 journal        = "Eur. Phys. J.",
 volume         = "C76",
 year           = "2016",
 number         = "5",
 pages          = "235",
 doi            = "10.1140/epjc/s10052-016-4099-4",
 eprint         = "1601.07913",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
 SLACcitation   = "%%CITATION = ARXIV:1601.07913;%%"
}

% November 16, 2015
@article{deOliveira:2015xxd,
 author         = "de Oliveira, Luke and Kagan, Michael and Mackey, Lester
 and Nachman, Benjamin and Schwartzman, Ariel",
 title          = "{Jet-images — deep learning edition}",
 journal        = "JHEP",
 volume         = "07",
 year           = "2016",
 pages          = "069",
 doi            = "10.1007/JHEP07(2016)069",
 eprint         = "1511.05190",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% October 15, 2014
@article{Rogozhnikov:2014zea,
 author         = "Rogozhnikov, Alex and Bukva, Aleksandar and Gligorov, V.
 V. and Ustyuzhanin, Andrey and Williams, Mike",
 title          = "{New approaches for boosting to uniformity}",
 journal        = "JINST",
 volume         = "10",
 year           = "2015",
 number         = "03",
 pages          = "T03002",
 doi            = "10.1088/1748-0221/10/03/T03002",
 eprint         = "1410.4140",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
 SLACcitation   = "%%CITATION = ARXIV:1410.4140;%%"
}

% February 19, 2014
@article{Baldi:2014kfa,
 author         = "Baldi, Pierre and Sadowski, Peter and Whiteson, Daniel",
 title          = "{Searching for Exotic Particles in High-Energy Physics
 with Deep Learning}",
 journal        = "Nature Commun.",
 volume         = "5",
 year           = "2014",
 pages          = "4308",
 doi            = "10.1038/ncomms5308",
 eprint         = "1402.4735",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% May 30, 2013
@article{Stevens:2013dya,
 author         = "Stevens, Justin and Williams, Mike",
 title          = "{uBoost: A boosting method for producing uniform
 selection efficiencies from multivariate classifiers}",
 journal        = "JINST",
 volume         = "8",
 year           = "2013",
 pages          = "P12013",
 doi            = "10.1088/1748-0221/8/12/P12013",
 eprint         = "1305.7248",
 archivePrefix  = "arXiv",
 primaryClass   = "nucl-ex",
 SLACcitation   = "%%CITATION = ARXIV:1305.7248;%%"
}

% October 25, 2012
@article{Gligorov:2012qt,
 author         = "Gligorov, V. V. and Williams, Mike",
 title          = "{Efficient, reliable and fast high-level triggering using
 a bonsai boosted decision tree}",
 journal        = "JINST",
 volume         = "8",
 year           = "2013",
 pages          = "P02013",
 doi            = "10.1088/1748-0221/8/02/P02013",
 eprint         = "1210.6861",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.ins-det",
 SLACcitation   = "%%CITATION = ARXIV:1210.6861;%%"
}

% September 20, 1987
@article{Denby:1987rk,
 author         = "Denby, Bruce H.",
 title          = "{Neural Networks and Cellular Automata in Experimental
 High-energy Physics}",
 journal        = "Comput. Phys. Commun.",
 volume         = "49",
 year           = "1988",
 pages          = "429-448",
 doi            = "10.1016/0010-4655(88)90004-5",
 reportNumber   = "LAL-87-56"
}