machine learning for Particle Physics

Deliverables

Document describing plans for open-access dataset publication, in relation to the working packages of this project

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Publications

MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks

Author(s): Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu
Published in: The European Physical Journal C, 81/5, 2021, ISSN 1434-6044
Publisher: Springer Verlag
DOI: 10.1140/epjc/s10052-021-09158-w

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Author(s): Giuseppe Di Guglielmo, Javier Mauricio Duarte, Philip Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Maurizio Pierini, Dylan Sheldon Rankin, Sheila Sagear, Sioni Paris Summers, Nhan Tran, Zhenbin Wu
Published in: Machine Learning: Science and Technology, 2020, ISSN 2632-2153
Publisher: IOP
DOI: 10.1088/2632-2153/aba042

Calorimetry with deep learning: particle simulation and reconstruction for collider physics

Author(s): Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang
Published in: The European Physical Journal C, 80/7, 2020, ISSN 1434-6044
Publisher: Springer Verlag
DOI: 10.1140/epjc/s10052-020-8251-9

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Author(s): Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
Published in: Frontiers in Big Data, 3, 2021, ISSN 2624-909X
Publisher: Frontier
DOI: 10.3389/fdata.2020.598927

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Author(s): S. Summers, G. Di Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, V. Loncar, J. Ngadiuba, M. Pierini, D. Rankin, N. Tran, Z. Wu
Published in: Journal of Instrumentation, 15/05, 2020, Page(s) P05026-P05026, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/15/05/p05026

JEDI-net: a jet identification algorithm based on interaction networks

Author(s): Eric A. Moreno, Olmo Cerri, Javier M. Duarte, Harvey B. Newman, Thong Q. Nguyen, Avikar Periwal, Maurizio Pierini, Aidana Serikova, Maria Spiropulu, Jean-Roch Vlimant
Published in: The European Physical Journal C, 80/1, 2020, ISSN 1434-6044
Publisher: Springer Verlag
DOI: 10.1140/epjc/s10052-020-7608-4

Learning multivariate new physics

Author(s): Raffaele Tito D’Agnolo, Gaia Grosso, Maurizio Pierini, Andrea Wulzer, Marco Zanetti
Published in: The European Physical Journal C, 81/1, 2021, ISSN 1434-6044
Publisher: Springer Verlag
DOI: 10.1140/epjc/s10052-021-08853-y

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Author(s): Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini
Published in: The European Physical Journal C, 79/7, 2019, ISSN 1434-6044
Publisher: Springer Verlag
DOI: 10.1140/epjc/s10052-019-7113-9

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC

Author(s): T. Q. Nguyen, D. Weitekamp, D. Anderson, R. Castello, O. Cerri, M. Pierini, M. Spiropulu, J-R. Vlimant
Published in: Computing and Software for Big Science, 3/1, 2019, ISSN 2510-2036
Publisher: Springer International Publishing
DOI: 10.1007/s41781-019-0028-1

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider

Author(s): Adrian Alan Pol, Gianluca Cerminara, Cecile Germain, Maurizio Pierini, Agrima Seth
Published in: Computing and Software for Big Science, 3/1, 2019, ISSN 2510-2036
Publisher: Springer International Publishing
DOI: 10.1007/s41781-018-0020-1

Fast inference of deep neural networks in FPGAs for particle physics

Author(s): J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, Z. Wu
Published in: Journal of Instrumentation, 13/07, 2018, Page(s) P07027-P07027, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/13/07/P07027

Pileup mitigation at the Large Hadron Collider with graph neural networks

Author(s): J. Arjona Martínez, O. Cerri, M. Spiropulu, J. R. Vlimant, M. Pierini
Published in: The European Physical Journal Plus, 134/7, 2019, ISSN 2190-5444
Publisher: Springer Science + Business Media
DOI: 10.1140/epjp/i2019-12710-3

Variational autoencoders for new physics mining at the Large Hadron Collider

Author(s): Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
Published in: Journal of High Energy Physics, 2019/5, 2019, ISSN 1029-8479
Publisher: Institute of Physics Publishing
DOI: 10.1007/JHEP05(2019)036

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Author(s): Javier Duarte, Philip Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Suffian Khan, Benjamin Kreis, Brian Lee, Mia Liu, Vladimir Lončar, Jennifer Ngadiuba, Kevin Pedro, Brandon Perez, Maurizio Pierini, Dylan Rankin, Nhan Tran, Matthew Trahms, Aristeidis Tsaris, Colin Versteeg, Ted W. Way, Dustin Werran, Zhenbin Wu
Published in: Computing and Software for Big Science, 3/1, 2019, ISSN 2510-2036
Publisher: Springer
DOI: 10.1007/s41781-019-0027-2

The DNNLikelihood: enhancing likelihood distribution with Deep Learning

Author(s): Andrea Coccaro, Maurizio Pierini, Luca Silvestrini, Riccardo Torre
Published in: The European Physical Journal C, 80/7, 2020, ISSN 1434-6044
Publisher: Springer Verlag
DOI: 10.1140/epjc/s10052-020-8230-1

Interaction networks for the identification of boosted H → b b ¯ decays

Author(s): Eric A. Moreno, Thong Q. Nguyen, Jean-Roch Vlimant, Olmo Cerri, Harvey B. Newman, Avikar Periwal, Maria Spiropulu, Javier M. Duarte, Maurizio Pierini
Published in: Physical Review D, 102/1, 2020, ISSN 2470-0010
Publisher: APS Physics
DOI: 10.1103/physrevd.102.012010

Adversarially Learned Anomaly Detection on CMS open data: re-discovering the top quark

Author(s): O. Knapp, O. Cerri, G. Dissertori, T. Q. Nguyen, M. Pierini, J. R. Vlimant
Published in: The European Physical Journal Plus, 136/2, 2021, ISSN 2190-5444
Publisher: Springer Science + Business Media
DOI: 10.1140/epjp/s13360-021-01109-4

Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Author(s): Pol, Adrian,; Berger, Victor; Cerminara, Gianluca; Germain, Cécile; Pierini, Maurizio
Published in: https://hal.inria.fr/hal-02428005, 8, 2019
Publisher: Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS)

Anomaly Detection with Conditional Variational Autoencoders

Author(s): Adrian Alan Pol, Victor Berger, Cecile Germain, Gianluca Cerminara, Maurizio Pierini
Published in: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, Page(s) 1651-1657, ISBN 978-1-7281-4550-1
Publisher: IEEE
DOI: 10.1109/icmla.2019.00270

Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description

Author(s): Martinez, Jesus Arjona; Nguyen, Thong Q; Pierini, Maurizio; Spiropulu, Maria; Vlimant, Jean-Roch
Published in: 8, 2020
Publisher: IOP Science
DOI: 10.17863/CAM.54789

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Author(s): Heintz, Aneesh; Razavimaleki, Vesal; Duarte, Javier; DeZoort, Gage; Ojalvo, Isobel; Thais, Savannah; Atkinson, Markus; Neubauer, Mark; Gray, Lindsey; Jindariani, Sergo; Tran, Nhan; Harris, Philip; Rankin, Dylan; Aarrestad, Thea; Loncar, Vladimir; Pierini, Maurizio; Summers, Sioni; Ngadiuba, Jennifer; Liu, Mia; Kreinar, Edward; Wu, Zhenbin
Published in: Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), 5, 2020
Publisher: NeurIPS

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

Author(s): Kansal, Raghav; Duarte, Javier; Orzari, Breno; Tomei, Thiago; Pierini, Maurizio; Touranakou, Mary; Vlimant, Jean-Roch; Gunopulos, Dimitrios
Published in: Third Workshop on Machine Learning and the Physical Sciences, 2020
Publisher: NeurIPS

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Author(s): Fahim, Farah; Hawks, Benjamin; Herwig, Christian; Hirschauer, James; Jindariani, Sergo; Tran, Nhan; Carloni, Luca P.; Di Guglielmo, Giuseppe; Harris, Philip; Krupa, Jeffrey; Rankin, Dylan; Valentin, Manuel Blanco; Hester, Josiah; Luo, Yingyi; Mamish, John; Orgrenci-Memik, Seda; Aarrestad, Thea; Javed, Hamza; Loncar, Vladimir; Pierini, Maurizio; Pol, Adrian Alan; Summers, Sioni; Duarte, Javier; Hau
Published in: 1, 2021
Publisher: TinyML Research Symposium 2021

Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring

Author(s): Pol, Adrian Alan
Published in: https://tel.archives-ouvertes.fr/tel-02924477, 5, 2020
Publisher: LRI - Laboratoire de Recherche en Informatique

LHC analysis-specific datasets with Generative Adversarial Networks

Author(s): Hashemi, Bobak; Amin, Nick; Datta, Kaustuv; Olivito, Dominick; Pierini, Maurizio
Published in: 1, 2019
Publisher: CERN

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