HEPML.bib

# HEPML Papers

%July 9
@article{1806025,
    author = "Kasieczka, Gregor and Marzani, Simone and Soyez, Gregory and Stagnitto, Giovanni",
    title = "{Towards Machine Learning Analytics for Jet Substructure}",
    eprint = "2007.04319",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TIF-UNIMI-2020-12",
    month = "7",
    year = "2020"
}
@article{1806026,
    author = "Kronheim, Braden and Kuchera, Michelle and Prosper, Harrison and Karbo, Alexander",
    title = "{Bayesian Neural Networks for Fast SUSY Predictions}",
    eprint = "2007.04506",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}

%July 7
@article{1805474,
    author = "Koh, Dae Heun and de Soux, Pierre Cote and Domine, Laura and Drielsma, François and Itay, Ran and Lin, Qing and Terao, Kazuhiro and Tsang, Ka Vang and Usher, Tracy",
    collaboration = "DeepLearnPhysics",
    title = "{Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers}",
    eprint = "2007.03083",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2020"
}

%July 6
@article{Akar:2020jti,
    author = "Akar, Simon and Boettcher, Thomas J. and Carl, Sarah and Schreiner, Henry F. and Sokoloff, Michael D. and Stahl, Marian and Weisser, Constantin and Williams, Mike",
    title = "{An updated hybrid deep learning algorithm for identifying and locating primary vertices}",
    eprint = "2007.01023",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2020"
}
@article{Cheng:2020dal,
    author = "Cheng, Taoli and Arguin, Jean-François and Leissner-Martin, Julien and Pilette, Jacinthe and Golling, Tobias",
    title = "{Variational Autoencoders for Anomalous Jet Tagging}",
    eprint = "2007.01850",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}

%June 30
@article{1804325,
    author = "Buckley, Andy and Kvellestad, Anders and Raklev, Are and Scott, Pat and Sparre, Jon Vegard and Abeele, Jeriek Van den and Vazquez-Holm, Ingrid A.",
    title = "{$\textsf{Xsec}$: the cross-section evaluation code}",
    eprint = "2006.16273",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "SAGEX-20-17-E",
    month = "6",
    year = "2020"
}

%June 28
@article{Domine:2020tlx,
    author = "Domin{\'e}, Laura and Terao, Kazuhiro",
    title = "{Point Proposal Network for Reconstructing 3D Particle Positions with Sub-Pixel Precision in Liquid Argon Time Projection Chambers}",
    eprint = "2006.14745",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2020"
}

%June 23
@article{Sirunyan:2020hwz,
    author = "Sirunyan, Albert M and others",
    collaboration = "CMS",
    title = "{Inclusive search for highly boosted Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at $\sqrt{s} = 13$ TeV}",
    eprint = "2006.13251",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-19-003, CERN-EP-2020-107",
    month = "6",
    year = "2020"
}

%June 16
@article{1801423,
    author = "Bernreuther, Elias and Finke, Thorben and Kahlhoefer, Felix and Kr{\"a}mer, Michael and M{\"u}ck, Alexander",
    title = "{Casting a graph net to catch dark showers}",
    eprint = "2006.08639",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TTK-20-17, P3H-20-025",
    month = "6",
    year = "2020"
}

%June 14
@article{1800956,
    author = "Bellagente, Marco and Butter, Anja and Kasieczka, Gregor and Plehn, Tilman and Rousselot, Armand and Winterhalder, Ramon",
    title = "{Invertible Networks or Partons to Detector and Back Again}",
    eprint = "2006.06685",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2020"
}

%June 10
@article{1800445,
    author = "Romao, M. Crispim and Castro, N.F. and Pedro, R.",
    title = "{Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders}",
    eprint = "2006.05432",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2020"
}

%June 4
@article{Adams:2020vlj,
    author = "Adams, Corey and Terao, Kazuhiro and Wongjirad, Taritree",
    title = "{PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics}",
    eprint = "2006.01993",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2020"
}

@article{Lei:2020ucb,
    author = "Lei, Ying-Ke and Liu, Chun and Chen, Zhiqiang",
    title = "{Numerical analysis of neutrino physics within a high scale supersymmetry model via machine learning}",
    eprint = "2006.01495",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2020"
}

%May 26
@article{1797846,
    author = "Dillon, Barry M. and Faroughy, Darius A. and Kamenik, Jernej F. and Szewc, Manuel",
    title = "{Learning the latent structure of collider events}",
    eprint = "2005.12319",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2020"
}

%May 24
@article{1797439,
    author = "Abdughani, Murat and Wang, Daohan and Wu, Lei and Yang, Jin Min and Zhao, Jun",
    title = "{Probing triple Higgs coupling with machine learning at the LHC}",
    eprint = "2005.11086",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2020"
}

% May 12, 2020
@article{buhmann2020getting,
    title="{Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed}",
    author={Erik Buhmann and Sascha Diefenbacher and Engin Eren and Frank Gaede and Gregor Kasieczka and Anatolii Korol and Katja Kruger},
    year={2020},
    eprint="2005.05334",
    archivePrefix={arXiv},
    primaryClass={physics.ins-det}
}

% May 7, 2020
@article{collaboration2020dijet,
    title="{Dijet resonance search with weak supervision using 13 TeV pp collisions in the ATLAS detector}",
    author={ATLAS Collaboration},
    year={2020},
    eprint="2005.02983",
    archivePrefix={arXiv},
    primaryClass={hep-ex}
}

%May 6
@article{bielkov2020identifying,
    title="{Identifying Heavy-Flavor Jets Using Vectors of Locally Aggregated Descriptors}",
    author={Jana Bielcikoaá and Raghav Kunnawalkam Elayavalli and Georgy Ponimatkin and Jörn H. Putschke and Josef Sivic},
    year={2020},
    eprint="2005.01842",
    archivePrefix={arXiv},
    primaryClass={hep-ph}
}

%May 5
@article{knapp2020adversarially,
    title="{Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark}",
    author={Oliver Knapp and Guenther Dissertori and Olmo Cerri and Thong Q. Nguyen and Jean-Roch Vlimant and Maurizio Pierini},
    year={2020},
    eprint="2005.01598",
    archivePrefix={arXiv},
    primaryClass={hep-ex}
}
@article{clavijo2020adversarial,
    title="{Adversarial domain adaptation to reduce sample bias of a high energy physics classifier}",
    author={Jose M. Clavijo and Paul Glaysher and Judith M. Katzy},
    year={2020},
    eprint="2005.00568",
    archivePrefix={arXiv},
    primaryClass={stat.ML}
}

%April 26
@article{Aiello:2020orq,
    author = "Aiello, Sebastiano and others",
    archivePrefix = "arXiv",
    collaboration = "KM3NeT",
    eprint = "2004.08254",
    month = "4",
    primaryClass = "astro-ph.IM",
    title = "{Event reconstruction for KM3NeT/ORCA using convolutional neural networks}",
    year = "2020"
}

% April 22, 2020
@article{1792136,
    author = "Alimena, Juliette and Iiyama, Yutaro and Kieseler, Jan",
    archivePrefix = "arXiv",
    eprint = "2004.10744",
    month = "4",
    primaryClass = "hep-ex",
    title = "{Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter}",
    year = "2020"
}

% 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"
}

%Feb 27 2020
@article{Amram:2020ykb,
    author = "Amram, Oz and Suarez, Cristina Mantilla",
    title = "{Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data}",
    eprint = "2002.12376",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2020"
}

% Added many on April 20, 2020
@article{Dolen:2016kst,
      author         = "Dolen, James and Harris, Philip and Marzani, Simone and
                        Rappoccio, Salvatore and Tran, Nhan",
      title          = "{Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure}",
      journal        = "JHEP",
      volume         = "05",
      year           = "2016",
      pages          = "156",
      doi            = "10.1007/JHEP05(2016)156",
      eprint         = "1603.00027",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "FERMILAB-PUB-16-046-PPD",
      SLACcitation   = "%%CITATION = ARXIV:1603.00027;%%"
}
@article{Moult:2017okx,
	Archiveprefix = {arXiv},
	Author = {Moult, Ian and Nachman, Benjamin and Neill, Duff},
	Doi = {10.1007/JHEP05(2018)002},
	Eprint = {1710.06859},
	Journal = {JHEP},
	Pages = {002},
	Primaryclass = {hep-ph},
	Slaccitation = {%%CITATION = ARXIV:1710.06859;%%},
	title = "{Convolved Substructure: Analytically Decorrelating Jet Substructure Observables}",
	Volume = {05},
	Year = {2018},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/JHEP05(2018)002}}
@article{Sirunyan:2019wwa,
    author = "Sirunyan, Albert M and others",
    collaboration = "CMS",
    title = "{A deep neural network for simultaneous estimation of b jet energy and resolution}",
    eprint = "1912.06046",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-18-027, CERN-EP-2019-261",
    month = "12",
    year = "2019"
}
@article{Bradshaw:2019ipy,
      author         = "Bradshaw, Layne and Mishra, Rashmish K. and Mitridate,
                        Andrea and Ostdiek, Bryan",
      title          = "{Mass Agnostic Jet Taggers}",
      year           = "2019",
      eprint         = "1908.08959",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1908.08959;%%"
}
@article{ATL-PHYS-PUB-2018-014,
      title         = "{Performance of mass-decorrelated jet substructure
                       observables for hadronic two-body decay tagging in ATLAS}",
      institution   = "CERN",
      collaboration = "ATLAS",
      address       = "Geneva",
      journal        = "ATL-PHYS-PUB-2018-014",
      year          = "2018",
      reportNumber  = "ATL-PHYS-PUB-2018-014",
      url           = "http://cds.cern.ch/record/2630973",
}
@article{DiscoFever,
      author         = "Kasieczka, Gregor and Shih, David",
      title          = "{DisCo Fever: Robust Networks Through Distance Correlation}",
      year           = "2020",
      eprint         = "2001.05310",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:2001.05310;%%"
}
@article{Xia:2018kgd,
      author         = "Xia, Li-Gang",
      title          = "{QBDT, a new boosting decision tree method with systematical uncertainties into training for High Energy Physics}",
      journal        = "Nucl. Instrum. Meth.",
      volume         = "A930",
      year           = "2019",
      pages          = "15-26",
      doi            = "10.1016/j.nima.2019.03.088",
      eprint         = "1810.08387",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1810.08387;%%"
}
@article{Englert:2018cfo,
      author         = "Englert, Christoph and Galler, Peter and Harris, Philip
                        and Spannowsky, Michael",
      title          = "{Machine Learning Uncertainties with Adversarial Neural Networks}",
      journal        = "Eur. Phys. J.",
      volume         = "C79",
      year           = "2019",
      number         = "1",
      pages          = "4",
      doi            = "10.1140/epjc/s10052-018-6511-8",
      eprint         = "1807.08763",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "IPPP/18/61",
      SLACcitation   = "%%CITATION = ARXIV:1807.08763;%%"
}
@article{Goodfellow:2014upx,
      author         = "Goodfellow, Ian J. and Pouget-Abadie, Jean and Mirza,
                        Mehdi and Xu, Bing and Warde-Farley, David and Ozair,
                        Sherjil and Courville, Aaron and Bengio, Yoshua",
      title          = "{Generative Adversarial Networks}",
      year           = "2014",
      eprint         = "1406.2661",
      archivePrefix  = "arXiv",
      primaryClass   = "stat.ML",
      SLACcitation   = "%%CITATION = ARXIV:1406.2661;%%"
}
@article{Wunsch:2019qbo,
      author         = "Wunsch, Stefan and J\'{o}rger, Simon and Wolf, Roger and
                        Quast, Gunter",
      title          = "{Reducing the dependence of the neural network function to systematic uncertainties in the input space}",
      year           = "2019",
      eprint         = "1907.11674",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1907.11674;%%"
}
@article{Nguyen:2018ugw,
    author = "Nguyen, Thong Q. and Weitekamp, Daniel and Anderson, Dustin and Castello, Roberto and Cerri, Olmo and Pierini, Maurizio and Spiropulu, Maria and Vlimant, Jean-Roch",
    title = "{Topology classification with deep learning to improve real-time event selection at the LHC}",
    eprint = "1807.00083",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/s41781-019-0028-1",
    journal = "Comput. Softw. Big Sci.",
    volume = "3",
    number = "1",
    pages = "12",
    year = "2019"
}
@article{Paganini:2017dwg,
      author         = "Paganini, Michela and de Oliveira, Luke and Nachman,
                        Benjamin",
      title          = "{CaloGAN : Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks}",
      journal        = "Phys. Rev.",
      volume         = "D97",
      year           = "2018",
      number         = "1",
      pages          = "014021",
      doi            = "10.1103/PhysRevD.97.014021",
      eprint         = "1712.10321",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1712.10321;%%"
}
@article{Butter:2019eyo,
      author         = "Butter, Anja and Plehn, Tilman and Winterhalder, Ramon",
      title          = "{How to GAN Event Subtraction}",
      year           = "2019",
      eprint         = "1912.08824",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1912.08824;%%"
}
@inproceedings{Martinez:2019jlu,
      author         = "Arjona Martinez, Jesus and Nguyen, Thong Q. and
                        Pierini, Maurizio and Spiropulu, Maria and Vlimant,
                        Jean-Roch",
      title          = "{Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description}",
      journal      = "{19th International Workshop on Advanced Computing and
                        Analysis Techniques in Physics Research: Empowering the
                        revolution: Bringing Machine Learning to High Performance
                        Computing (ACAT 2019) Saas-Fee, Switzerland, March 11-15,
                        2019}",
      year           = "2019",
      eprint         = "1912.02748",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1912.02748;%%"
}
@article{Bellagente:2019uyp,
      author         = "Bellagente, Marco and Butter, Anja and Kasieczka, Gregor
                        and Plehn, Tilman and Winterhalder, Ramon",
      title          = "{How to GAN away Detector Effects}",
      year           = "2019",
      eprint         = "1912.00477",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1912.00477;%%"
}
@article{Vallecorsa:2019ked,
      author         = "Vallecorsa, Sofia and Carminati, Federico and Khattak,
                        Gulrukh",
      title          = "{3D convolutional GAN for fast simulation}",
      journal      = "{Proceedings, 23rd International Conference on Computing
                        in High Energy and Nuclear Physics (CHEP 2018): Sofia,
                        Bulgaria, July 9-13, 2018}",
      journal        = "EPJ Web Conf.",
      volume         = "214",
      year           = "2019",
      pages          = "02010",
      doi            = "10.1051/epjconf/201921402010",
      SLACcitation   = "%%CITATION = 00776,214,02010;%%"
}
@article{SHiP:2019gcl,
      author         = "Ahdida, C. and others",
      title          = "{Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks}",
      collaboration  = "SHiP",
      year           = "2019",
      eprint         = "1909.04451",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.ins-det",
      SLACcitation   = "%%CITATION = ARXIV:1909.04451;%%"
}
@article{Carrazza:2019cnt,
      author         = "Carrazza, Stefano and Dreyer, Frédéric A.",
      title          = "{Lund jet images from generative and cycle-consistent adversarial networks}",
      journal        = "Eur. Phys. J.",
      volume         = "C79",
      year           = "2019",
      number         = "11",
      pages          = "979",
      doi            = "10.1140/epjc/s10052-019-7501-1",
      eprint         = "1909.01359",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "OUTP-19-09P, TIF-UNIMI-2019-14",
      SLACcitation   = "%%CITATION = ARXIV:1909.01359;%%"
}
@article{Butter:2019cae,
      author         = "Butter, Anja and Plehn, Tilman and Winterhalder, Ramon",
      title          = "{How to GAN LHC Events}",
      journal        = "SciPost Phys.",
      volume         = "7",
      year           = "2019",
      pages          = "075",
      doi            = "10.21468/SciPostPhys.7.6.075",
      eprint         = "1907.03764",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1907.03764;%%"
}
@article{Lin:2019htn,
      author         = "Lin, Joshua and Bhimji, Wahid and Nachman, Benjamin",
      title          = "{Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model}",
      journal        = "JHEP",
      volume         = "05",
      year           = "2019",
      pages          = "181",
      doi            = "10.1007/JHEP05(2019)181",
      eprint         = "1903.02556",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1903.02556;%%"
}
@article{Hashemi:2019fkn,
      author         = "Hashemi, Bobak and Amin, Nick and Datta, Kaustuv and
                        Olivito, Dominick and Pierini, Maurizio",
      title          = "{LHC analysis-specific datasets with Generative Adversarial Networks}",
      year           = "2019",
      eprint         = "1901.05282",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1901.05282;%%"
}
@inproceedings{Chekalina:2018hxi,
      author         = "Chekalina, Viktoria and Orlova, Elena and Ratnikov, Fedor
                        and Ulyanov, Dmitry and Ustyuzhanin, Andrey and Zakharov,
                        Egor",
      title          = "{Generative Models for Fast Calorimeter Simulation.LHCb case}",
      journal      = "{23rd International Conference on Computing in High
                        Energy and Nuclear Physics (CHEP 2018) Sofia, Bulgaria,
                        July 9-13, 2018}",
      year           = "2018",
      eprint         = "1812.01319",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1812.01319;%%"
}
@article{ATL-SOFT-PUB-2018-001,
      title         = "{Deep generative models for fast shower simulation in ATLAS}",
      institution   = "CERN",
      collaboration = "ATLAS",
      address       = "Geneva",
      journal        = "ATL-SOFT-PUB-2018-001",
      month         = "Jul",
      year          = "2018",
      reportNumber  = "ATL-SOFT-PUB-2018-001",
      url           = "http://cds.cern.ch/record/2630433",
}
@article{Zhou:2018ill,
      author         = "Zhou, Kai and Endrodi, Gergely and Pang, Long-Gang and
                        Stocker, Horst",
      title          = "{Regressive and generative neural networks for scalar field theory}",
      journal        = "Phys. Rev.",
      volume         = "D100",
      year           = "2019",
      number         = "1",
      pages          = "011501",
      doi            = "10.1103/PhysRevD.100.011501",
      eprint         = "1810.12879",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-lat",
      SLACcitation   = "%%CITATION = ARXIV:1810.12879;%%"
}
@article{Carminati:2018khv,
      author         = "Carminati, F. and Gheata, A. and Khattak, G. and Mendez
                        Lorenzo, P. and Sharan, S. and Vallecorsa, S.",
      title          = "{Three dimensional Generative Adversarial Networks for fast simulation}",
      journal      = "{Proceedings, 18th International Workshop on Advanced
                        Computing and Analysis Techniques in Physics Research
                        (ACAT 2017): Seattle, WA, USA, August 21-25, 2017}",
      journal        = "J. Phys. Conf. Ser.",
      volume         = "1085",
      year           = "2018",
      number         = "3",
      pages          = "032016",
      doi            = "10.1088/1742-6596/1085/3/032016",
      SLACcitation   = "%%CITATION = 00462,1085,032016;%%"
}
@article{Vallecorsa:2018zco,
      author         = "Vallecorsa, S.",
      title          = "{Generative models for fast simulation}",
      journal      = "{Proceedings, 18th International Workshop on Advanced
                        Computing and Analysis Techniques in Physics Research
                        (ACAT 2017): Seattle, WA, USA, August 21-25, 2017}",
      journal        = "J. Phys. Conf. Ser.",
      volume         = "1085",
      year           = "2018",
      number         = "2",
      pages          = "022005",
      doi            = "10.1088/1742-6596/1085/2/022005",
      SLACcitation   = "%%CITATION = 00462,1085,022005;%%"
}
@article{Datta:2018mwd,
      author         = "Datta, Kaustuv and Kar, Deepak and Roy, Debarati",
      title          = "{Unfolding with Generative Adversarial Networks}",
      year           = "2018",
      eprint         = "1806.00433",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1806.00433;%%"
}
@article{Musella:2018rdi,
      author         = "Musella, Pasquale and Pandolfi, Francesco",
      title          = "{Fast and Accurate Simulation of Particle Detectors Using Generative Adversarial Networks}",
      journal        = "Comput. Softw. Big Sci.",
      volume         = "2",
      year           = "2018",
      number         = "1",
      pages          = "8",
      doi            = "10.1007/s41781-018-0015-y",
      eprint         = "1805.00850",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1805.00850;%%"
}
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    doi = "10.1007/JHEP05(2017)006",
    eprint = "1701.08784",
    journal = "JHEP",
    pages = "006",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-17-07",
    title = "{Deep-learning Top Taggers or The End of QCD?}",
    volume = "05",
    year = "2017"
}
@article{Chen:2019uar,
    author = "Chen, Yu-Chen Janice and Chiang, Cheng-Wei and Cottin, Giovanna and Shih, David",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.101.053001",
    eprint = "1908.08256",
    journal = "Phys. Rev. D",
    number = "5",
    pages = "053001",
    primaryClass = "hep-ph",
    title = "{Boosted $W$ and $Z$ tagging with jet charge and deep learning}",
    volume = "101",
    year = "2020"
}
@article{Macaluso:2018tck,
    author = "Macaluso, Sebastian and Shih, David",
    archivePrefix = "arXiv",
    doi = "10.1007/JHEP10(2018)121",
    eprint = "1803.00107",
    journal = "JHEP",
    pages = "121",
    primaryClass = "hep-ph",
    title = "{Pulling Out All the Tops with Computer Vision and Deep Learning}",
    volume = "10",
    year = "2018"
}
@article{Brehmer:2020vwc,
    author = "Brehmer, Johann and Cranmer, Kyle",
    archivePrefix = "arXiv",
    eprint = "2003.13913",
    month = "3",
    primaryClass = "stat.ML",
    title = "{Flows for simultaneous manifold learning and density estimation}",
    year = "2020"
}
@article{Brehmer:2019xox,
    author = "Brehmer, Johann and Kling, Felix and Espejo, Irina and Cranmer, Kyle",
    archivePrefix = "arXiv",
    doi = "10.1007/s41781-020-0035-2",
    eprint = "1907.10621",
    journal = "Comput. Softw. Big Sci.",
    number = "1",
    pages = "3",
    primaryClass = "hep-ph",
    title = "{MadMiner: Machine learning-based inference for particle physics}",
    volume = "4",
    year = "2020"
}
@article{Brehmer:2018hga,
    author = "Brehmer, Johann and Louppe, Gilles and Pavez, Juan and Cranmer, Kyle",
    archivePrefix = "arXiv",
    doi = "10.1073/pnas.1915980117",
    eprint = "1805.12244",
    journal = "Proc. Nat. Acad. Sci.",
    pages = "201915980",
    primaryClass = "stat.ML",
    title = "{Mining gold from implicit models to improve likelihood-free inference}",
    year = "2020"
}
@article{Cranmer:2015bka,
    author = "Cranmer, Kyle and Pavez, Juan and Louppe, Gilles",
    archivePrefix = "arXiv",
    eprint = "1506.02169",
    month = "6",
    primaryClass = "stat.AP",
    title = "{Approximating Likelihood Ratios with Calibrated Discriminative  Classifiers}",
    year = "2015"
}
@article{Bothmann:2020ywa,
    author = "Bothmann, Enrico and Janßen, Timo and Knobbe, Max and Schmale, Tobias and Schumann, Steffen",
    archivePrefix = "arXiv",
    eprint = "2001.05478",
    month = "1",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-20-02, MCNET-20-01",
    title = "{Exploring phase space with Neural Importance Sampling}",
    year = "2020"
}
@article{Gao:2020zvv,
    author = "Gao, Christina and Höche, Stefan and Isaacson, Joshua and Krause, Claudius and Schulz, Holger",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.101.076002",
    eprint = "2001.10028",
    journal = "Phys. Rev. D",
    number = "7",
    pages = "076002",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-20-009-SCD-T, MCNET-20-03",
    title = "{Event Generation with Normalizing Flows}",
    volume = "101",
    year = "2020"
}
@article{Gao:2020vdv,
    author = "Gao, Christina and Isaacson, Joshua and Krause, Claudius",
    archivePrefix = "arXiv",
    eprint = "2001.05486",
    month = "1",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-PUB-20-010-T",
    title = "{i-flow: High-Dimensional Integration and Sampling with Normalizing Flows}",
    year = "2020"
}
@article{Klimek:2018mza,
    author = "Klimek, Matthew D. and Perelstein, Maxim",
    archivePrefix = "arXiv",
    eprint = "1810.11509",
    month = "10",
    primaryClass = "hep-ph",
    title = "{Neural Network-Based Approach to Phase Space Integration}",
    year = "2018"
}
@article{Carrazza:2020rdn,
    author = "Carrazza, Stefano and Cruz-Martinez, Juan M.",
    archivePrefix = "arXiv",
    eprint = "2002.12921",
    month = "2",
    primaryClass = "physics.comp-ph",
    reportNumber = "TIF-UNIMI-2020-8",
    title = "{VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms}",
    year = "2020"
}
@article{deCastro:2018mgh,
    author = "De Castro, Pablo and Dorigo, Tommaso",
    archivePrefix = "arXiv",
    doi = "10.1016/j.cpc.2019.06.007",
    eprint = "1806.04743",
    journal = "Comput. Phys. Commun.",
    pages = "170--179",
    primaryClass = "stat.ML",
    title = "{INFERNO: Inference-Aware Neural Optimisation}",
    volume = "244",
    year = "2019"
}
@article{Wunsch:2020iuh,
    author = "Wunsch, Stefan and Jörger, Simon and Wolf, Roger and Quast, Günter",
    archivePrefix = "arXiv",
    eprint = "2003.07186",
    month = "3",
    primaryClass = "physics.data-an",
    title = "{Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters}",
    year = "2020"
}
@article{Bishara:2019iwh,
    author = "Bishara, Fady and Montull, Marc",
    archivePrefix = "arXiv",
    eprint = "1912.11055",
    month = "12",
    primaryClass = "hep-ph",
    reportNumber = "DESY-19-232",
    title = "{(Machine) Learning Amplitudes for Faster Event Generation}",
    year = "2019"
}
@article{Aad:2019yxi,
    author = "Aad, Georges and others",
    archivePrefix = "arXiv",
    collaboration = "ATLAS",
    doi = "10.1016/j.physletb.2019.135145",
    eprint = "1908.06765",
    journal = "Phys. Lett. B",
    pages = "135145",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2019-143",
    title = "{Search for non-resonant Higgs boson pair production in the $bb\ell\nu\ell\nu$ final state with the ATLAS detector in $pp$ collisions at $\sqrt{s} = 13$ TeV}",
    volume = "801",
    year = "2020"
}
@article{Aad:2020hzm,
    author = "Aad, Georges and others",
    archivePrefix = "arXiv",
    collaboration = "ATLAS",
    eprint = "2004.01678",
    month = "4",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2020-033",
    title = "{Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance using 13 TeV $pp$ collision data from the ATLAS detector}",
    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 27, 2019
@article{10.1088/2632-2153/ab9023,
author={CMS Collaboration},
title="{A deep neural network to search for new long-lived particles decaying to jets}",
journal={Machine Learning: Science and Technology},
eprint="1912.12238",
doi="10.1088/2632-2153/ab9023",
year={2020}
}

% December 17, 2019
@article{Bourilkov:2019yoi,
    author = "Bourilkov, Dimitri",
    title = "{Machine and Deep Learning Applications in Particle Physics}",
    eprint = "1912.08245",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1142/S0217751X19300199",
    journal = "Int. J. Mod. Phys. A",
    volume = "34",
    number = "35",
    pages = "1930019",
    year = "2020"
}

% 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}",
    eprint = "1911.09107",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5155",
    doi = "10.1103/PhysRevLett.124.182001",
    journal = "Phys. Rev. Lett.",
    volume = "124",
    number = "18",
    pages = "182001",
    year = "2020"
}

% 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;%%"
}

%November 30, 2018
@article{Alonso-Monsalve:2018aqs,
    author = "Alonso-Monsalve, Saúl and Whitehead, Leigh H.",
    title = "{Image-based model parameter optimization using Model-Assisted Generative Adversarial Networks}",
    eprint = "1812.00879",
    archivePrefix = "arXiv",
    primaryClass = "cs.CV",
    doi = "10.1109/TNNLS.2020.2969327",
    month = "11",
    year = "2018"
}

% 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}",
    eprint = "1807.10768",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP10(2018)101",
    journal = "JHEP",
    volume = "10",
    pages = "101",
    year = "2018"
}

% 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;%%"
}

% March 9, 2018
@article{Chien:2018dfn,
    author = "Chien, Yang-Ting and Kunnawalkam Elayavalli, Raghav",
    title = "{Probing heavy ion collisions using quark and gluon jet substructure}",
    eprint = "1803.03589",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 4947, WSU-HEP 1802, MIT-CTP-4947, WSU-HEP-1802",
    month = "3",
    year = "2018"
}

% 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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
 journal      = "{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}",
    eprint = "1708.02949",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT--CTP-4922",
    doi = "10.1007/JHEP10(2017)174",
    journal = "JHEP",
    volume = "10",
    pages = "174",
    year = "2017"
}

% 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 = "{Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters}",
    eprint = "1705.02355",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1103/PhysRevLett.120.042003",
    journal = "Phys. Rev. Lett.",
    volume = "120",
    number = "4",
    pages = "042003",
    year = "2018"
}

% 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 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}",
 journal      = "{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",
}

@article{Almeida:2015jua,
    author = "Almeida, Leandro G. and Backovi\'c, Mihailo and Cliche, Mathieu and Lee, Seung J. and Perelstein, Maxim",
    title = "{Playing Tag with ANN: Boosted Top Identification with Pattern Recognition}",
    eprint = "1501.05968",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CP3-15-01",
    doi = "10.1007/JHEP07(2015)086",
    journal = "JHEP",
    volume = "07",
    pages = "086",
    year = "2015"
}

% 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"
}

@misc{hepmllivingreview,
	Author = "{HEP ML Community}",
	title = "{A Living Review of Machine Learning for Particle Physics}",
	url={https://iml-wg.github.io/HEPML-LivingReview/}
}

@article{dummy,
}