HEPML.bib

# HEPML Papers

%Feb. 24, 2021
@article{Buhmann:2021lxj,
    author = {Buhmann, Erik and Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Korol, Anatolii and Kr\"uger, Katja},
    title = "{Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network}",
    eprint = "2102.12491",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "DESY 21-029",
    month = "2",
    year = "2021"
}

%Feb. 23, 2021
@article{Choi:2021sku,
    author = "Choi, Suyong and Lim, Jae Hoon",
    title = "{A Data-driven Event Generator for Hadron Colliders using Wasserstein Generative Adversarial Network}",
    eprint = "2102.11524",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/s40042-021-00095-1",
    month = "2",
    year = "2021"
}

%Feb. 22, 2021
@article{Hawks:2021ruw,
    author = "Hawks, Benjamin and Duarte, Javier and Fraser, Nicholas J. and Pappalardo, Alessandro and Tran, Nhan and Umuroglu, Yaman",
    title = "{Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference}",
    eprint = "2102.11289",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    reportNumber = "FERMILAB-PUB-21-056-SCD",
    month = "2",
    year = "2021"
}

%Feb. 16, 2021
@article{Batson:2021agz,
    author = "Batson, Joshua and Haaf, C. Grace and Kahn, Yonatan and Roberts, Daniel A.",
    title = "{Topological Obstructions to Autoencoding}",
    eprint = "2102.08380",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP/5264",
    month = "2",
    year = "2021"
}

%Feb. 15, 2021
@article{Chakravarti:2021svb,
    author = "Chakravarti, Purvasha and Kuusela, Mikael and Lei, Jing and Wasserman, Larry",
    title = "{Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests}",
    eprint = "2102.07679",
    archivePrefix = "arXiv",
    primaryClass = "stat.AP",
    month = "2",
    year = "2021"
}

%Feb. 10, 2021
@article{Droz:2021wnh,
    author = "Droz, David and Tykhonov, Andrii and Wu, Xin and Alemanno, Francesca and Ambrosi, Giovanni and Catanzani, Enrico and Di Santo, Margherita and Kyratzis, Dimitrios and Zimmer, Stephan",
    title = "{A neural network classifier for electron identification on the DAMPE experiment}",
    eprint = "2102.05534",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "2",
    year = "2021"
}

%Feb. 9, 2021
@article{Kim:2021gtv,
    author = "Kim, Taegyun and Martin, Adam",
    title = "{A $W^\pm$ polarization analyzer from Deep Neural Networks}",
    eprint = "2102.05124",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2021"
}
@article{Mikuni:2021pou,
    author = "Mikuni, Vinicius and Canelli, Florencia",
    title = "{Point Cloud Transformers applied to Collider Physics}",
    eprint = "2102.05073",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "2",
    year = "2021"
}
@article{deLima:2021fwm,
    author = "de Lima, Rafael Teixeira",
    title = "{Sequence-based Machine Learning Models in Jet Physics}",
    eprint = "2102.06128",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "2",
    year = "2021"
}

% February 3, 2021
@misc{collado2021learning,
      title="{Learning to Isolate Muons}",
      author={Julian Collado and Kevin Bauer and Edmund Witkowski and Taylor Faucett and Daniel Whiteson and Pierre Baldi},
      year={2021},
      eprint="{2102.02278}",
      archivePrefix={arXiv},
      primaryClass={physics.data-an}
}

%Feb. 2, 2021
@article{Aguilar-Saavedra:2021rjk,
    author = "Aguilar-Saavedra, J. A.",
    title="{Pulling the Higgs and Top needles from the jet stack with Feature Extended Supervised Tagging}",
    eprint = "2102.01667",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2021"
}

% February 1, 2021
@inproceedings{Drielsma:2021jdv,
    author = "Drielsma, Francois and Terao, Kazuhiro and Domin\'e, Laura and Koh, Dae Heun",
    title = "{Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors}",
    booktitle = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2102.01033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2021"
}
@article{Araz:2021wqm,
    author = "Araz, Jack Y. and Spannowsky, Michael",
    title = "{Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks}",
    eprint = "2102.01078",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/74",
    month = "2",
    year = "2021"
}

@article{Feickert:2021ajf,
    author = "Feickert, Matthew and Nachman, Benjamin",
    title ="{A Living Review of Machine Learning for Particle Physics}",
    eprint = "2102.02770",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2021"
}

% January 28, 2021
@misc{gonzalez2021tackling,
      title="{Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning}",
      author={B. S. Gonz\'{a}lez and R. Concei\c{c}\~{a}o and M. Pimenta and B. Tom\'{e} and A. Guill\'{e}n},
      year={2021},
      eprint="{2101.11924}",
      archivePrefix={arXiv},
      primaryClass={physics.ins-det}
}

@misc{goto2021development,
      title="{Development of a Vertex Finding Algorithm using Recurrent Neural Network}",
      author={Kiichi Goto and Taikan Suehara and Tamaki Yoshioka and Masakazu Kurata and Hajime Nagahara and Yuta Nakashima and Noriko Takemura and Masako Iwasaki},
      year={2021},
      eprint="{2101.11906}",
      archivePrefix={arXiv},
      primaryClass={physics.data-an}
}

% January 27, 2021
@misc{abbasi2021convolutional,
      title="{A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory}",
      author={R. Abbasi and others},
      collaboration="IceCube",
      year={2021},
      eprint="{2101.11589}",
      archivePrefix={arXiv},
      primaryClass={hep-ex}
}

% January 25, 2021
@misc{huang2021convolutionalneuralnetwork,
      title="{A convolutional-neural-network estimator of CMB constraints on dark matter energy injection}",
      author={Wei-Chih Huang and Jui-Lin Kuo and Yue-Lin Sming Tsai},
      year={2021},
      eprint="{2101.10360}",
      archivePrefix={arXiv},
      primaryClass={astro-ph.CO}
}

% January 22, 2021
@article{Howard:2021pos,
    author = "Howard, Jessica N. and Mandt, Stephan and Whiteson, Daniel and Yang, Yibo",
    title = "{Foundations of a Fast, Data-Driven, Machine-Learned Simulator}",
    eprint = "2101.08944",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}
@article{Conceicao:2021xgn,
    author = "Concei\c{c}\~ao, R. and Gonz\'alez, B. S. and Guill\'en, A. and Pimenta, M. and Tom\'e, B.",
    title = "{Muon identification in a compact single-layered water Cherenkov detector and gamma/hadron discrimination using Machine Learning techniques}",
    eprint = "2101.10109",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2021"
}

% January 21, 2021
@article{Pata:2021oez,
    author = "Pata, Joosep and Duarte, Javier and Vlimant, Jean-Roch and Pierini, Maurizio and Spiropulu, Maria",
    title = "{MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks}",
    eprint = "2101.08578",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "1",
    year = "2021"
}

% January 20, 2021
@article{Kasieczka:2021xcg,
    author = "Kasieczka, Gregor and others",
    title = "{The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics}",
    eprint = "2101.08320",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}

% January 18, 2021
@article{Nachman:2021yvi,
    author = "Nachman, Benjamin and Thaler, Jesse",
    title = "{E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once}",
    eprint = "2101.07263",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "MIT-CTP 5271",
    month = "1",
    year = "2021"
}

%January 16
@article{Amrouche:2021tlm,
    author = "Amrouche, Sabrina and Kiehn, Moritz and Golling, Tobias and Salzburger, Andreas",
    title = "{Hashing and metric learning for charged particle tracking}",
    journal = "{33rd Annual Conference on Neural Information Processing Systems}",
    eprint = "2101.06428",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2021"
}

%January 15
@article{Chen:2021ouz,
    author = "Chen, Samuel Yen-Chi and Wei, Tzu-Chieh and Zhang, Chao and Yu, Haiwang and Yoo, Shinjae",
    title = "{Hybrid Quantum-Classical Graph Convolutional Network}",
    eprint = "2101.06189",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "1",
    year = "2021"
}

%Jan 13
@article{Aarrestad:2021zos,
    author = "Aarrestad, Thea and others",
    title = "{Fast convolutional neural networks on FPGAs with hls4ml}",
    eprint = "2101.05108",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "1",
    year = "2021"
}

%Jan 12
@article{Qian:2021vnh,
    author = "Qian, Zhen and others",
    title = "{Vertex and Energy Reconstruction in JUNO with Machine Learning Methods}",
    eprint = "2101.04839",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2021"
}
@article{Balazs:2021uhg,
    author = "Bal\'azs, Csaba and others",
    collaboration = "DarkMachines High Dimensional Sampling Group",
    title = "{A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications}",
    eprint = "2101.04525",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}

%Jan 8.
@article{Aab:2021rcn,
    author = "Aab, Alexander and others",
    collaboration = "Pierre Auger",
    title = "{Deep-Learning based Reconstruction of the Shower Maximum $X_{\mathrm{max}}$ using the Water-Cherenkov Detectors of the Pierre Auger Observatory}",
    eprint = "2101.02946",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "1",
    year = "2021"
}

%Dec. 23
@article{Favoni:2020reg,
    author = {Favoni, Matteo and Ipp, Andreas and M\"uller, David I. and Schuh, Daniel},
    title = "{Lattice gauge equivariant convolutional neural networks}",
    eprint = "2012.12901",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2020"
}

%Dec. 22
@article{Chen:2020zkj,
    author = "Chen, Samuel Yen-Chi and Wei, Tzu-Chieh and Zhang, Chao and Yu, Haiwang and Yoo, Shinjae",
    title = "{Quantum Convolutional Neural Networks for High Energy Physics Data Analysis}",
    eprint = "2012.12177",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "12",
    year = "2020"
}
@article{Baldi:2020hjm,
    author = "Baldi, Pierre and Blecher, Lukas and Butter, Anja and Collado, Julian and Howard, Jessica N. and Keilbach, Fabian and Plehn, Tilman and Kasieczka, Gregor and Whiteson, Daniel",
    title = "{How to GAN Higher Jet Resolution}",
    eprint = "2012.11944",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 21
@article{Wu:2020cye,
    author = "Wu, Sau Lan and others",
    title = "{Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits}",
    eprint = "2012.11560",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    reportNumber = "FERMILAB-PUB-20-675-DI-QIS",
    month = "12",
    year = "2020"
}
@article{Stein:2020rou,
    author = "Stein, George and Seljak, Uros and Dai, Biwei",
    title = "{Unsupervised in-distribution anomaly detection of new physics through conditional density estimation}",
    eprint = "2012.11638",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "12",
    year = "2020"
}

%Dec. 17
@article{Kagan:2020yrm,
    author = "Kagan, Michael",
    title = "{Image-Based Jet Analysis}",
    eprint = "2012.09719",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2020"
}
@article{Bieringer:2020tnw,
    author = {Bieringer, Sebastian and Butter, Anja and Heimel, Theo and H\"oche, Stefan and K\"othe, Ullrich and Plehn, Tilman and Radev, Stefan T.},
    title = "{Measuring QCD Splittings with Invertible Networks}",
    eprint = "2012.09873",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-20-665-T",
    month = "12",
    year = "2020"
}

%Dec. 15
@article{Rossi:2020sbh,
    author = "Rossi, Marco and Carrazza, Stefano and Cruz-Martinez, Juan M.",
    title = "{PDFFlow: hardware accelerating parton density access}",
    eprint = "2012.08221",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.5821/zenodo.4286175",
    month = "12",
    year = "2020"
}
@article{Verma:2020gnq,
    author = "Verma, Yogesh and Jena, Satyajit",
    title = "{Particle Track Reconstruction using Geometric Deep Learning}",
    eprint = "2012.08515",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2020"
}
@article{Rousseau:2020rnz,
    author = "Rousseau, David and Ustyuzhanin, Andrey",
    title = "{Machine Learning scientific competitions and datasets}",
    eprint = "2012.08520",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2020"
}
@article{Dreyer:2020brq,
    author = "Dreyer, Fr\'ed\'eric A. and Qu, Huilin",
    title = "{Jet tagging in the Lund plane with graph networks}",
    eprint = "2012.08526",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Faroughy:2020gas,
    author = "Faroughy, Darius A.",
    title = "{Uncovering hidden patterns in collider events with Bayesian probabilistic models}",
    eprint = "2012.08579",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 14
@article{Backes:2020vka,
    author = "Backes, Mathias and Butter, Anja and Plehn, Tilman and Winterhalder, Ramon",
    title = "{How to GAN Event Unweighting}",
    eprint = "2012.07873",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Abratenko:2020ocq,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    title = "{Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE}",
    eprint = "2012.08513",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-20-654-ND",
    month = "12",
    year = "2020"
}

%Dec. 11
@article{Liu:2020pzv,
    author = "Liu, Junze and Ott, Jordan and Collado, Julian and Jargowsky, Benjamin and Wu, Wenjie and Bian, Jianming and Baldi, Pierre",
    title = "{Deep-Learning-Based Kinematic Reconstruction for DUNE}",
    eprint = "2012.06181",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2020"
}
@article{Lai:2020byl,
    author = "Lai, Yue Shi and Neill, Duff and P\l{}osko\'n, Mateusz and Ringer, Felix",
    title = "{Explainable machine learning of the underlying physics of high-energy particle collisions}",
    eprint = "2012.06582",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Du:2020pmp,
    author = "Du, Yi-Lun and Pablos, Daniel and Tywoniuk, Konrad",
    title = "{Deep learning jet modifications in heavy-ion collisions}",
    eprint = "2012.07797",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 9
@article{Grigsby:2020auv,
    author = "Grigsby, Jake and Kriesten, Brandon and Hoskins, Joshua and Liuti, Simonetta and Alonzi, Peter and Burkardt, Matthias",
    title = "{Deep Learning Analysis of Deeply Virtual Exclusive Photoproduction}",
    eprint = "2012.04801",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 8
@article{Fox:2020hfm,
    author = "Fox, Patrick J. and Huang, Shangqing and Isaacson, Joshua and Ju, Xiangyang and Nachman, Benjamin",
    title = "{Beyond 4D Tracking: Using Cluster Shapes for Track Seeding}",
    eprint = "2012.04533",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-20-650-T",
    month = "12",
    year = "2020"
}
@article{Maevskiy:2020ank,
    author = "Maevskiy, A. and Ratnikov, F. and Zinchenko, A. and Riabov, V.",
    title = "{Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks}",
    eprint = "2012.04595",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2020"
}

%Dec. 7
@article{Lee:2020qil,
    author = "Lee, Jason Sang Hun and Park, Inkyu and Watson, Ian James and Yang, Seungjin",
    title = "{Zero-Permutation Jet-Parton Assignment using a Self-Attention Network}",
    eprint = "2012.03542",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2020"
}

%Dec. 4
@article{Lee:2019cad,
    author = "Lee, Jason Sang Hun and Park, Inkyu and Watson, Ian James and Yang, Seungjin",
    title = "{Quark-Gluon Jet Discrimination Using Convolutional Neural Networks}",
    eprint = "2012.02531",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.3938/jkps.74.219",
    journal = "J. Korean Phys. Soc.",
    volume = "74",
    number = "3",
    pages = "219--223",
    year = "2019"
}
@article{Lee:2019ssx,
    author = "Lee, Jason Sang Hun and Lee, Sang Man and Lee, Yunjae and Park, Inkyu and Watson, Ian James and Yang, Seungjin",
    title = "{Quark Gluon Jet Discrimination with Weakly Supervised Learning}",
    eprint = "2012.02540",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.3938/jkps.75.652",
    journal = "J. Korean Phys. Soc.",
    volume = "75",
    number = "9",
    pages = "652--659",
    year = "2019"
}

%Dec. 3
@article{Vlimant:2020enz,
    author = "Vlimant, Jean-Roch and Yin, Junqi",
    title = "{Distributed Training and Optimization Of Neural Networks}",
    eprint = "2012.01839",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "12",
    year = "2020"
}

%Dec. 2
@article{Duarte:2020ngm,
    author = "Duarte, Javier and Vlimant, Jean-Roch",
    title = "{Graph Neural Networks for Particle Tracking and Reconstruction}",
    eprint = "2012.01249",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 1
@article{Dolan:2020qkr,
    author = "Dolan, Matthew J. and Ore, Ayodele",
    title = "{Equivariant Energy Flow Networks for Jet Tagging}",
    eprint = "2012.00964",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Nov. 30
@article{Heintz:2020soy,
    author = "Heintz, Aneesh and others",
    title = "{Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2012.01563",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-CONF-20-622-CMS-SCD",
    month = "11",
    year = "2020"
}
@article{Kansal:2020svm,
    author = "Kansal, Raghav and Duarte, Javier and Orzari, Breno and Tomei, Thiago and Pierini, Maurizio and Touranakou, Mary and Vlimant, Jean-Roch and Gunopoulos, Dimitrios",
    title = "{Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2012.00173",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "11",
    year = "2020"
}

% November 27, 2020
@article{Grojean:2020ech,
    author = "Grojean, Christophe and Paul, Ayan and Qian, Zhuoni",
    title = "{Resurrecting $b\bar{b}h$ with kinematic shapes}",
    eprint = "2011.13945",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-20-175, HU-EP-20/28",
    month = "11",
    year = "2020"
}

%Nov. 26
@article{Agarwal:2020fpt,
    author = "Agarwal, Garvita and Hay, Lauren and Iashvili, Ia and Mannix, Benjamin and McLean, Christine and Morris, Margaret and Rappoccio, Salvatore and Schubert, Ulrich",
    title = "{Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation}",
    eprint = "2011.13466",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}
@article{Verheyen:2020bjw,
    author = "Verheyen, Rob and Stienen, Bob",
    title = "{Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows}",
    eprint = "2011.13445",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}

%Nov. 24
@article{Tsai:2020vcx,
    author = "Tsai, Yue-Lin Sming and Chung, Yi-Lun and Yuan, Qiang and Cheung, Kingman",
    title = "{Inverting cosmic ray propagation by Convolutional Neural Networks}",
    eprint = "2011.11930",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    month = "11",
    year = "2020"
}

%Nov. 21
@article{Erdmann:2020ovh,
    author = "Erdmann, Johannes and Nackenhorst, Olaf and Zei\ss{}ner, Sonja Verena",
    title = "{Maximum performance of strange-jet tagging at hadron colliders}",
    eprint = "2011.10736",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 19
@article{Dahbi:2020zjw,
    author = "Dahbi, Salah-eddine and Choma, Joshua and Mellado, Bruce and Mokgatitswane, Gaogalalwe and Ruan, Xifeng and Celik, Turgay and Lieberman, Benjamin",
    title = "{Machine learning approach for the search of resonances with topological features at the Large Hadron Collider}",
    eprint = "2011.09863",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 18
@article{Akerib:2020aws,
    author = "Akerib, D.S. and others",
    collaboration = "LUX",
    title = "{Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique}",
    eprint = "2011.09602",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 17
@article{Clerbaux:2020ttg,
    author = "Clerbaux, Barbara and Petitjean, Pierre-Alexandre and Xu, Yu and Yang, Yifan",
    title = "{Study of using machine learning for level 1 trigger decision in JUNO experiment}",
    eprint = "2011.08847",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2020"
}

%Nov. 16
@article{Brehmer:2020brs,
    author = "Brehmer, Johann and Macaluso, Sebastian and Pappadopulo, Duccio and Cranmer, Kyle",
    title = "{Hierarchical clustering in particle physics through reinforcement learning}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2011.08191",
    archivePrefix = "arXiv",
    primaryClass = "cs.AI",
    month = "11",
    year = "2020"
}

%Nov. 14
@article{John:2020sak,
    author = "John, Jason St. and others",
    title = "{Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster}",
    eprint = "2011.07371",
    archivePrefix = "arXiv",
    primaryClass = "physics.acc-ph",
    reportNumber = "FERMILAB-PUB-20-565-AD-E-QIS-SCD",
    month = "11",
    year = "2020"
}

%Nov. 11
@article{Vandegar:2020yvw,
    author = "Vandegar, Maxime and Kagan, Michael and Wehenkel, Antoine and Louppe, Gilles",
    title = "{Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference}",
    eprint = "2011.05836",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "11",
    year = "2020"
}

%Nov. 9
@article{Tani:2020dyi,
    author = "Tani, Laurits and Rand, Diana and Veelken, Christian and Kadastik, Mario",
    title = "{Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics}",
    eprint = "2011.04434",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}
@article{Flesher:2020kuy,
    author = "Flesher, Forrest and Fraser, Katherine and Hutchison, Charles and Ostdiek, Bryan and Schwartz, Matthew D.",
    title = "{Parameter Inference from Event Ensembles and the Top-Quark Mass}",
    eprint = "2011.04666",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}

%Nov. 6
@article{Park:2020pak,
    author = "Park, Sang Eon and Rankin, Dylan and Udrescu, Silviu-Marian and Yunus, Mikaeel and Harris, Philip",
    title = "{Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge}",
    eprint = "2011.03550",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}

%Nov. 4
@article{Siviero:2020tim,
    author = "Siviero, Federico and Arcidiacono, Roberta and Cartiglia, Nicol\`o and Costa, Marco and Ferrero, Marco and Mandurrino, Marco and Sola, Valentina and Staiano, Amedeo and Tornago, Marta",
    title = "{First application of machine learning algorithms to the position reconstruction in Resistive Silicon Detectors}",
    eprint = "2011.02410",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2020"
}

%Nov. 3
@article{Collado:2020fwm,
    author = "Collado, Julian and Howard, Jessica N. and Faucett, Taylor and Tong, Tony and Baldi, Pierre and Whiteson, Daniel",
    title = "{Learning to Identify Electrons}",
    eprint = "2011.01984",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%October 27
@article{Nachman:2020ccu,
    author = "Nachman, Benjamin",
    title = "{Anomaly Detection for Physics Analysis and Less than Supervised Learning}",
    eprint = "2010.14554",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 26
@article{Lim:2020igi,
    author = "Lim, Sung Hak and Nojiri, Mihoko M.",
    title = "{Morphology for Jet Classification}",
    eprint = "2010.13469",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KEK-TH-2266",
    month = "10",
    year = "2020"
}

%October 23
@article{Faucett:2020vbu,
    author = "Faucett, Taylor and Thaler, Jesse and Whiteson, Daniel",
    title = "{Mapping Machine-Learned Physics into a Human-Readable Space}",
    eprint = "2010.11998",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5223",
    month = "10",
    year = "2020"
}

%October 22
@article{Bhattacharya:2020vzu,
    author = "Bhattacharya, Soham and Guchait, Monoranjan and Vijay, Aravind H.",
    title = "{Boosted Top Quark Tagging and Polarization Measurement using Machine Learning}",
    eprint = "2010.11778",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 19
@article{Fenton:2020woz,
    author = "Fenton, Michael James and Shmakov, Alexander and Ho, Ta-Wei and Hsu, Shih-Chieh and Whiteson, Daniel and Baldi, Pierre",
    title = "{Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks}",
    eprint = "2010.09206",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2020"
}
@article{Kitouni:2020xgb,
    author = "Kitouni, Ouail and Nachman, Benjamin and Weisser, Constantin and Williams, Mike",
    title = "{Enhancing searches for resonances with machine learning and moment decomposition}",
    eprint = "2010.09745",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 16
@article{Abbas:2020khd,
    author = "Abbas, Muhammad and Khan, Asifullah and Qureshi, Aqsa Saeed and Khan, Muhammad Waleed",
    title = "{Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks}",
    eprint = "2010.08201",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}
@article{Abratenko:2020pbp,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    title = "{A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber}",
    eprint = "2010.08653",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-20-527-ND",
    month = "10",
    year = "2020"
}
@article{Rankin:2020usv,
    author = "Rankin, Dylan Sheldon and others",
    title = "{FPGAs-as-a-Service Toolkit (FaaST)}",
    eprint = "2010.08556",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-CONF-20-426-SCD",
    month = "10",
    year = "2020",
    journal = "2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)",
    pages = "38",
    doi= "10.1109/H2RC51942.2020.00010"
}

%October 15
@article{vanBeekveld:2020txa,
    author = "van Beekveld, Melissa and Caron, Sascha and Hendriks, Luc and Jackson, Paul and Leinweber, Adam and Otten, Sydney and Patrick, Riley and Ruiz de Austri, Roberto and Santoni, Marco and White, Martin",
    title = "{Combining outlier analysis algorithms to identify new physics at the LHC}",
    eprint = "2010.07940",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 14
@article{Coogan:2020yux,
    author = "Coogan, Adam and Karchev, Konstantin and Weniger, Christoph",
    title = "{Targeted Likelihood-Free Inference of Dark Matter Substructure in Strongly-Lensed Galaxies}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2010.07032",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "10",
    year = "2020"
}
@article{Blance:2020nhl,
    author = "Blance, Andrew and Spannowsky, Michael",
    title = "{Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier}",
    eprint = "2010.07335",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/48",
    month = "10",
    year = "2020"
}

%October 13
@article{Brehmer:2020cvb,
    author = "Brehmer, Johann and Cranmer, Kyle",
    title = "{Simulation-based inference methods for particle physics}",
    eprint = "2010.06439",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 12
@article{guo2020boosted,
      title="{The Boosted Higgs Jet Reconstruction via Graph Neural Network}",
      author="{Jun Guo and Jinmian Li and Tianjun Li}",
      year="2020",
      eprint="2010.05464",
      archivePrefix="arXiv",
      primaryClass="hep-ph"
}
@article{pol2020anomaly,
      title="{Anomaly Detection With Conditional Variational Autoencoders}",
      author="{Adrian Alan Pol and Victor Berger and Gianluca Cerminara and Cecile Germain and Maurizio Pierini}",
      year="2020",
      eprint="2010.05531",
      archivePrefix="arXiv",
      primaryClass="cs.LG"
}

%October 9
@article{Andreassen:2020gtw,
    author = "Andreassen, Anders and Hsu, Shih-Chieh and Nachman, Benjamin and Suaysom, Natchanon and Suresh, Adi",
    title = "{Parameter Estimation using Neural Networks in the Presence of Detector Effects}",
    eprint = "2010.03569",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    journal="Phys. Rev. D",
    volume="103",
    pages="036001",
    year = "2021"
}
%October 8
@article{DelDebbio:2020rgv,
    author = "Del Debbio, Luigi and Giani, Tommaso and Karpie, Joseph and Orginos, Kostas and Radyushkin, Anatoly and Zafeiropoulos, Savvas",
    title = "{Neural-network analysis of Parton Distribution Functions from Ioffe-time pseudodistributions}",
    eprint = "2010.03996",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}
%October 5
@article{Lazzarin:2020uvv,
    author = "Lazzarin, Marco and Alioli, Simone and Carrazza, Stefano",
    title = "{MCNNTUNES: tuning Shower Monte Carlo generators with machine learning}",
    eprint = "2010.02213",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "10",
    year = "2020"
}
@article{Chen:2020uds,
    author = "Chen, Cheng and Cerri, Olmo and Nguyen, Thong Q. and Vlimant, Jean-Roch and Pierini, Maurizio",
    title = "{Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning}",
    eprint = "2010.01835",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "10",
    year = "2020"
}
%October 3
@article{Freitas:2020ttd,
    author = "Freitas, Felipe F. and Gon\c{c}alves, Jo\~ao and Morais, Ant\'onio P. and Pasechnik, Roman",
    title = "{Phenomenology of vector-like leptons with Deep Learning at the Large Hadron Collider}",
    eprint = "2010.01307",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}
%September 28
@article{Mikuni:2020qds,
    author = "Mikuni, Vinicius and Canelli, Florencia",
    title = "{Unsupervised clustering for collider physics}",
    eprint = "2010.07106",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2020"
}

%September 23
@article{Lu:2020npg,
    author = "Lu, Yadong and Collado, Julian and Whiteson, Daniel and Baldi, Pierre",
    title = "{SARM: Sparse Autoregressive Model for Scalable Generation of Sparse Images in Particle Physics}",
    eprint = "2009.14017",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2020"
}

%September 16
@article{Chen:2020nfb,
    author = "Chen, I-Kai and Klimek, Matthew D. and Perelstein, Maxim",
    title = "{Improved Neural Network Monte Carlo Simulation}",
    eprint = "2009.07819",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}
@article{Ostdiek:2020cqz,
    author = "Ostdiek, Bryan and Diaz Rivero, Ana and Dvorkin, Cora",
    title = "{Detecting Subhalos in Strong Gravitational Lens Images with Image Segmentation}",
    eprint = "2009.06663",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "9",
    year = "2020"
}

%September 14

@article{Tannenwald:2020mhq,
    author = "Tannenwald, Benjamin and Neu, Christopher and Li, Ang and Buehlmann, Gracemarie and Cuddeback, Anna and Hatfield, Leigh and Parvatam, Ruhi and Thompson, Colby",
    title = "{Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC}",
    eprint = "2009.06754",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}
@article{Carrazza:2020qwu,
    author = "Carrazza, Stefano and Cruz-Martinez, Juan M. and Rossi, Marco",
    title = "{PDFFlow: parton distribution functions on GPU}",
    eprint = "2009.06635",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}

%September 13
@article{Chung:2020ysf,
    author = "Chung, Yi-Lun and Hsu, Shih-Chieh and Nachman, Benjamin",
    title = "{Disentangling Boosted Higgs Boson Production Modes with Machine Learning}",
    eprint = "2009.05930",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}


%September 10

@article{1816035,
    author = "Dohi, Kosei",
    title = "{Variational Autoencoders for Jet Simulation}",
    eprint = "2009.04842",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}

%September 8

@article{2009.03796,
      author="S. Diefenbacher and E. Eren and G. Kasieczka and A. Korol and B. Nachman and D. Shih",
      title="{DCTRGAN: Improving the Precision of Generative Models with Reweighting}",
      eprint="2009.03796",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      journal = "Journal of Instrumentation",
      volume = "15",
      pages = "P11004",
      doi = {10.1088/1748-0221/15/11/p11004},
      year = "2020",
}


%September 6

@article{1815227,
    author = "Benkendorfer, Kees and Pottier, Luc Le and Nachman, Benjamin",
    title = "{Simulation-Assisted Decorrelation for Resonant Anomaly Detection}",
    eprint = "2009.02205",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}

%September 2

@article{alonsomonsalve2020graph,
    title="{Graph neural network for 3D classification of ambiguities and optical crosstalk in scintillator-based neutrino detectors}",
    author="Saul Alonso-Monsalve and Dana Douqa and Cesar Jesus-Valls and Thorsten Lux and Sebastian Pina-Otey and Federico Sanchez and Davide Sgalaberna and Leigh H. Whitehead",
    year="2020",
    eprint="2009.00688",
    archivePrefix="arXiv",
    primaryClass="hep-ex"
}

@article{Ilyasov_2020,
   title="{Boosted decision trees approach to neck alpha events discrimination in DEAP-3600 experiment}",
   DOI="10.1088/1402-4896/ab8dff",
   journal="Physica Scripta",
   author="Ilyasov, Aidar and Grobov, Alexey",
   year="2020"
}


%September 1

@article{li2020attention,
    title="{An Attention Based Neural Network for Jet Tagging}",
    author="Jing Li and Hao Sun",
    year="2020",
    eprint="2009.00170",
    archivePrefix="arXiv",
    primaryClass="hep-ph"
}

%August 30

@article{aguilarsaavedra2020mass,
    title="{Mass Unspecific Supervised Tagging (MUST) for boosted jets}",
    author="J. A. Aguilar-Saavedra and F. R. Joaquim and J. F. Seabra",
    year="2020",
    eprint="2008.12792",
    archivePrefix="arXiv",
    primaryClass="hep-ph"
}

@article{li2020reconstructing,
    title="{Reconstructing boosted Higgs jets from event image segmentation}",
    author="Jinmian Li and Tianjun Li and Fang-Zhou Xu",
    year="2020",
    eprint="2008.13529",
    archivePrefix="arXiv",
    primaryClass="hep-ph"
}

%August 27

@article{Alexander:2020mbx,
    author = "Alexander, Stephon and Gleyzer, Sergei and Parul, Hanna and Reddy, Pranath and Toomey, Michael W. and Usai, Emanuele and Von Klar, Ryker",
    title = "{Decoding Dark Matter Substructure without Supervision}",
    eprint = "2008.12731",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "8",
    year = "2020"
}

%August 26

@article{Forte:2020yip,
    author = "Forte, Stefano and Carrazza, Stefano",
    title = "{Parton distribution functions}",
    eprint = "2008.12305",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TIF-UNIMI-2020-23",
    month = "8",
    year = "2020"
}

%August 24

@article{Bury:2020ewi,
    author = "Bury, Florian and Delaere, Christophe",
    title = "{Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier}",
    eprint = "2008.10949",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CP3-20-37",
    month = "8",
    year = "2020"
}

@article{Bols:2020bkb,
    author = "Bols, Emil and Kieseler, Jan and Verzetti, Mauro and Stoye, Markus and Stakia, Anna",
    title = "{Jet Flavour Classification Using DeepJet}",
    eprint = "2008.10519",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2020"
}

%August 23

@article{Mohan:2020vvi,
    author = "Mohan, Lakshan Ram Madhan and Marshall, Alexander and Maddrell-Mander, Samuel and O'Hanlon, Daniel and Petridis, Konstantinos and Rademacker, Jonas and Rege, Victoria and Titterton, Alexander",
    title = "{Studying the potential of Graphcore IPUs for applications in Particle Physics}",
    eprint = "2008.09210",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "8",
    year = "2020"
}

%August 20

@article{Englert:2020ntw,
    author = "Englert, Christoph and Fairbairn, Malcolm and Spannowsky, Michael and Stylianou, Panagiotis and Varma, Sreedevi",
    title = "{Sensing Higgs cascade decays through memory}",
    eprint = "2008.08611",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/36; KCL-PH-TH/2020-45",
    month = "8",
    year = "2020"
}
@article{Cai:2020vzx,
    author = "Cai, Tianji and Cheng, Junyi and Craig, Katy and Craig, Nathaniel",
    title = "{Linearized Optimal Transport for Collider Events}",
    eprint = "2008.08604",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}
@article{Brewer:2020och,
    author = "Brewer, Jasmine and Thaler, Jesse and Turner, Andrew P.",
    title = "{Data-driven quark and gluon jet modification in heavy-ion collisions}",
    eprint = "2008.08596",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5219",
    month = "8",
    year = "2020"
}
@article{Butter:2020tvl,
    author = "Butter, Anja and Plehn, Tilman",
    title = "{Generative Networks for LHC events}",
    eprint = "2008.08558",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

%August 16

@article{1811770,
      author="X. Ju and B. Nachman",
      title="{Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons}",
      eprint="2008.06064",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      journal="Phys. Rev. D",
      volume="102",
      pages="075014",
      year = "2020",
}

@article{2008.06545,
      author="A. Butter and S. Diefenbacher and G. Kasieczka and B. Nachman and T. Plehn",
      title="{GANplifying Event Samples}",
      eprint="2008.06545",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      year = "2020",
}

%August 13

@article{Ngairangbam:2020ksz,
    author = "Ngairangbam, Vishal S. and Bhardwaj, Akanksha and Konar, Partha and Nayak, Aruna Kumar",
    title = "{Invisible Higgs search through Vector Boson Fusion: A deep learning approach}",
    eprint = "2008.05434",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

@article{Grossi:2020orx,
    author = "Grossi, M. and Novak, J. and Rebuzzi, D. and Kersevan, B.",
    title = "{Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering}",
    eprint = "2008.05316",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

%August 11

@article{1811097,
    author = "Bhattacharya, Srimoy and Nandi, Soumitra and Patra, Sunando Kumar and Sahoo, Shantanu",
    title = "{'Deep' Dive into $b \to c$ Anomalies: Standardized and Future-proof Model Selection Using Self-normalizing Neural Networks}",
    eprint = "2008.04316",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

%August 10

@article{Choi:2020bnf,
    author = "Choi, Suyong and Lim, Jaehoon and Oh, Hayoung",
    title = "{Data-driven Estimation of Background Distribution through Neural Autoregressive Flows}",
    eprint = "2008.03636",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

@article{Cogollo:2020afo,
    author = "Cogollo, D. and Freitas, F.F. and Pires, C.A.de S. and Oviedo-Torres, Yohan M. and Vasconcelos, P.",
    title = "{Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC}",
    eprint = "2008.03409",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

@article{Iiyama:2020wap,
    author = "Iiyama, Yutaro and others",
    title = "{Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics}",
    eprint = "2008.03601",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-20-405-E-SCD",
    doi = "10.3389/fdata.2020.598927",
    journal = "Front. Big Data",
    volume = "3",
    pages = "598927",
    year = "2020"
}

%August 9

@article{Shlomi:2020ufi,
    author = "Shlomi, Jonathan and Ganguly, Sanmay and Gross, Eilam and Cranmer, Kyle and Lipman, Yaron and Serviansky, Hadar and Maron, Haggai and Segol, Nimrod",
    title = "{Secondary Vertex Finding in Jets with Neural Networks}",
    eprint = "2008.02831",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2020"
}

@article{Alanazi:2020jod,
    author = "Alanazi, Y. and others",
    title = "{AI-based Monte Carlo event generator for electron-proton scattering}",
    eprint = "2008.03151",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-20-3230",
    month = "8",
    year = "2020"
}

%August 5

@article{Psihas:2020pby,
    author = "Psihas, Fernanda and Groh, Micah and Tunnell, Christopher and Warburton, Karl",
    title = "{A Review on Machine Learning for Neutrino Experiments}",
    eprint = "2008.01242",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "8",
    year = "2020"
}

%August 3

@article{Thaprasop:2020mzp,
    author = "Thaprasop, Punnathat and Zhou, Kai and Steinheimer, Jan and Herold, Christoph",
    title = "{Unsupervised Outlier Detection in Heavy-Ion Collisions}",
    eprint = "2007.15830",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2020"
}

%July 29

@article{Kuznetsov:2020mcj,
    author = "Kuznetsov, Valentin and Giommi, Luca and Bonacorsi, Daniele",
    title = "{MLaaS4HEP: Machine Learning as a Service for HEP}",
    eprint = "2007.14781",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2020"
}
@article{Khosa:2020qrz,
    author = "Khosa, Charanjit K. and Sanz, Veronica",
    title = "{Anomaly Awareness}",
    eprint = "2007.14462",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "7",
    year = "2020"
}
@article{Kasieczka:2020pil,
    author = "Kasieczka, Gregor and Nachman, Benjamin and Schwartz, Matthew D. and Shih, David",
    title = "{ABCDisCo: Automating the ABCD Method with Machine Learning}",
    eprint = "2007.14400",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}
@article{Chang:2020rtc,
    author = "Chang, Spencer and Chen, Ting-Kuo and Chiang, Cheng-Wei",
    title = "{Distinguishing $W'$ Signals at Hadron Colliders Using Neural Networks}",
    eprint = "2007.14586",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}

%July 27

@article{1808876,
    author = "Jercic, Marko and Poljak, Nikola",
    title = "{Exploring the Possibility of a Recovery of Physics Process Properties from a Neural Network Model}",
    eprint = "2007.13110",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "7",
    year = "2020"
}
@article{1808859,
    author = "Yu, Haiwang and others",
    title = "{Augmented Signal Processing in Liquid Argon Time Projection Chamber with Deep Neural Network}",
    eprint = "2007.12743",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2020"
}
@article{1808887,
   title="{Graph neural networks in particle physics}",
   volume={2},
   ISSN={2632-2153},
   url={http://dx.doi.org/10.1088/2632-2153/abbf9a},
   doi={10.1088/2632-2153/abbf9a},
   number={2},
   journal={Machine Learning: Science and Technology},
   publisher={IOP Publishing},
   author={Shlomi, Jonathan and Battaglia, Peter and Vlimant, Jean-Roch},
   year={2021},
   month={Jan},
   pages={021001},
   eprint = "2007.13681"
}


%July 23
@article{Nachman:2020fff,
      author="B. Nachman and J. Thaler",
      title="{A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties}",
      eprint="2007.11586",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      volume="102",
      pages="076004",
      year = "2020"
}

%July 21

@article{1808105,
    author = "Chen, Siyu and Glioti, Alfredo and Panico, Giuliano and Wulzer, Andrea",
    title = "{Parametrized classifiers for optimal EFT sensitivity}",
    eprint = "2007.10356",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}
@article{1808088,
    author = "Krupa, Jeffrey and others",
    title = "{GPU coprocessors as a service for deep learning inference in high energy physics}",
    eprint = "2007.10359",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-PUB-20-338-E-SCD",
    month = "7",
    year = "2020"
}

%July 19
@article{1807719,
    author = "Dorigo, Tommaso and de Castro, Pablo",
    title = "{Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review}",
    eprint = "2007.09121",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "7",
    year = "2020"
}

%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"
}
@article{Choma:2020cry,
    author = "Choma, Nicholas and others",
    title = "{Track Seeding and Labelling with Embedded-space Graph Neural Networks}",
    eprint = "2007.00149",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-CONF-20-387-PPD-QIS-SCD",
    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",
    doi = "10.1007/JHEP12(2020)085",
    journal = "JHEP",
    volume = "12",
    pages = "085",
    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"
}

%June 03
@article{Mikuni:2020wpr,
    author = "Mikuni, Vinicius and Canelli, Florencia",
    title = "{ABCNet: An attention-based method for particle tagging}",
    eprint = "2001.05311",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1140/epjp/s13360-020-00497-3",
    journal = "Eur. Phys. J. Plus",
    volume = "135",
    number = "6",
    pages = "463",
    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 8, 2020
@article{Guan:2020bdl,
    author = "Guan, Wen and Perdue, Gabriel and Pesah, Arthur and Schuld, Maria and Terashi, Koji and Vallecorsa, Sofia and Vlimant, Jean-Roch",
    title = "{Quantum Machine Learning in High Energy Physics}",
    eprint = "2005.08582",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    doi = "10.1088/2632-2153/abc17d",
    month = "5",
    year = "2020"
}

% 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"
}

%Feb 25, 2020
@article{Badger:2020uow,
    author = "Badger, Simon and Bullock, Joseph",
    title = "{Using neural networks for efficient evaluation of high multiplicity scattering amplitudes}",
    eprint = "2002.07516",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/5",
    doi = "10.1007/JHEP06(2020)114",
    journal = "JHEP",
    volume = "06",
    pages = "114",
    year = "2020"
}

%Feb 23, 2020
@article{Du:2019civ,
    author = {Du, Yi-Lun and Zhou, Kai and Steinheimer, Jan and Pang, Long-Gang and Motornenko, Anton and Zong, Hong-Shi and Wang, Xin-Nian and St\"ocker, Horst},
    title = "{Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning}",
    eprint = "1910.11530",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1140/epjc/s10052-020-8030-7",
    journal = "Eur. Phys. J. C",
    volume = "80",
    number = "6",
    pages = "516",
    year = "2020"
}
@article{Terashi:2020wfi,
    author = "Terashi, Koji and Kaneda, Michiru and Kishimoto, Tomoe and Saito, Masahiko and Sawada, Ryu and Tanaka, Junichi",
    title = "{Event Classification with Quantum Machine Learning in High-Energy Physics}",
    eprint = "2002.09935",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "2",
    year = "2020"
}

%Before Feb. 23 2020
@article{Freitas:2019hbk,
    author = "Freitas, Felipe F. and Khosa, Charanjit K. and Sanz, Ver\'onica",
    title = "{Exploring the standard model EFT in VH production with machine learning}",
    eprint = "1902.05803",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.100.035040",
    journal = "Phys. Rev. D",
    volume = "100",
    number = "3",
    pages = "035040",
    year = "2019"
}
@article{Khosa:2019qgp,
    author = "Khosa, Charanjit K. and Mars, Lucy and Richards, Joel and Sanz, Veronica",
    title = "{Convolutional Neural Networks for Direct Detection of Dark Matter}",
    eprint = "1911.09210",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1088/1361-6471/ab8e94",
    journal = "J. Phys. G",
    volume = "47",
    number = "9",
    pages = "095201",
    year = "2020"
}
@article{Khosa:2019kxd,
    author = "Khosa, Charanjit K. and Sanz, Veronica and Soughton, Michael",
    title = "{WIMPs or else? Using Machine Learning to disentangle LHC signatures}",
    eprint = "1910.06058",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2019"
}

% Added many on April 20, 2020
@article{Zlokapa:2019lvv,
    author = "Zlokapa, Alexander and Mott, Alex and Job, Joshua and Vlimant, Jean-Roch and Lidar, Daniel and Spiropulu, Maria",
    title = "{Quantum adiabatic machine learning with zooming}",
    eprint = "1908.04480",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "8",
    year = "2019"
}
@article{Mott:2017xdb,
    author = "Mott, Alex and Job, Joshua and Vlimant, Jean Roch and Lidar, Daniel and Spiropulu, Maria",
    title = "{Solving a Higgs optimization problem with quantum annealing for machine learning}",
    doi = "10.1038/nature24047",
    journal = "Nature",
    volume = "550",
    number = "7676",
    pages = "375--379",
    year = "2017"
}
@article{Brehmer:2019jyt,
    author = "Brehmer, Johann and Mishra-Sharma, Siddharth and Hermans, Joeri and Louppe, Gilles and Cranmer, Kyle",
    title = "{Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning}",
    eprint = "1909.02005",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    doi = "10.3847/1538-4357/ab4c41",
    month = "9",
    year = "2019"
}
@article{Erdmann:2019blf,
    author = "Erdmann, Johannes",
    title = "{A tagger for strange jets based on tracking information using long short-term memory}",
    eprint = "1907.07505",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/15/01/P01021",
    journal = "JINST",
    volume = "15",
    number = "01",
    pages = "P01021",
    year = "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",
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@article{Martinez:2018fwc,
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@article{Komiske:2018cqr,
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@article{Nakai:2020kuu,
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@article{Bollweg:2019skg,
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@article{Qasim:2019otl,
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@article{Qu:2019gqs,
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@article{Kasieczka:2019dbj,
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@article{Chakraborty:2019imr,
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@article{Chakraborty:2020yfc,
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@article{Kasieczka:2020vlh,
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@article{Komiske:2019fks,
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@article{Komiske:2018vkc,
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@article{Komiske:2017aww,
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@article{Metodiev:2018ftz,
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@article{Sirunyan:2020lcu,
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@article{Diefenbacher:2019ezd,
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}
@article{Kasieczka:2018lwf,
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}
@article{Butter:2017cot,
    author = "Butter, Anja and Kasieczka, Gregor and Plehn, Tilman and Russell, Michael",
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}
@article{Kasieczka:2017nvn,
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}
@article{Chen:2019uar,
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    year = "2020"
}
@article{Macaluso:2018tck,
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    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",
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    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",
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    year = "2020"
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@article{Brehmer:2018hga,
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@article{Cranmer:2015bka,
    author = "Cranmer, Kyle and Pavez, Juan and Louppe, Gilles",
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@article{Bothmann:2020ywa,
    author = "Bothmann, Enrico and Janßen, Timo and Knobbe, Max and Schmale, Tobias and Schumann, Steffen",
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}
@article{Gao:2020zvv,
    author = "Gao, Christina and Höche, Stefan and Isaacson, Joshua and Krause, Claudius and Schulz, Holger",
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}
@article{Gao:2020vdv,
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    year = "2020"
}
@article{Klimek:2018mza,
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}
@article{Carrazza:2020rdn,
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    year = "2020"
}
@article{deCastro:2018mgh,
    author = "De Castro, Pablo and Dorigo, Tommaso",
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    doi = "10.1016/j.cpc.2019.06.007",
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@article{Wunsch:2020iuh,
    author = "Wunsch, Stefan and Jörger, Simon and Wolf, Roger and Quast, Günter",
    archivePrefix = "arXiv",
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    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",
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    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",
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    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;%%"
}

% Januray 17, 2019
@article{Ren:2019xhp,
    author = "Ren, Jie and Wu, Lei and Yang, Jin Min",
    title = "{Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC}",
    eprint = "1901.05627",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1016/j.physletb.2020.135198",
    journal = "Phys. Lett. B",
    volume = "802",
    pages = "135198",
    year = "2020"
}

%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 24, 2018
@article{Abdughani:2018wrw,
    author = "Abdughani, Murat and Ren, Jie and Wu, Lei and Yang, Jin Min",
    title = "{Probing stop pair production at the LHC with graph neural networks}",
    eprint = "1807.09088",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP08(2019)055",
    journal = "JHEP",
    volume = "08",
    pages = "055",
    year = "2019"
}

% 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 St\"ocker, Horst and Wang, Xin-Nian},
    title = "{An equation-of-state-meter of quantum chromodynamics transition from deep learning}",
    eprint = "1612.04262",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1038/s41467-017-02726-3",
    journal = "Nature Commun.",
    volume = "9",
    number = "1",
    pages = "210",
    year = "2018"
}

% 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,
}