machine learning for Particle Physics

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Autori: 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; Jennifer Ngadiuba; Liu, Mia; Kreinar, Edward; Wu, Zhenbin
Pubblicato in: Third Workshop on Machine Learning and the Physical Sciences, 2020
Editore: NeurIPS
DOI: 10.48550/arxiv.2012.01563

Particle Cloud Generation with Message Passing Generative Adversarial Networks

Autori: Kansal, Raghav; Duarte, Javier; Su, Hao; Orzari, Breno; Tomei, Thiago; Pierini, Maurizio; Touranakou, Mary; Vlimant, Jean-Roch; Gunopulos, Dimitrios
Pubblicato in: Conference on Neural Information Processing Systems, 2022
Editore: Conference on Neural Information Processing Systems
DOI: 10.48550/arxiv.2106.11535

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

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

Anomaly Detection with Conditional Variational Autoencoders

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

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

Autori: Martinez, Jesus Arjona; Nguyen, Thong Q; Pierini, Maurizio; Spiropulu, Maria; Vlimant, Jean-Roch
Pubblicato in: Numero 8, 2020
Editore: IOP Science
DOI: 10.17863/CAM.54789

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

Autori: Pol, Adrian,; Berger, Victor; Cerminara, Gianluca; Germain, Cécile; Pierini, Maurizio
Pubblicato in: ICMLA 2019, Numero 2, 2020
Editore: International Conference on Machine Learning and Applications

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Autori: 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
Pubblicato in: Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Numero 5, 2020
Editore: NeurIPS

Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC

Autori: Breno Orzari; Thiago Tomei; Maurizio Pierini; Mary Touranakou; Javier Duarte; Raghav Kansal; Jean-Roch Vlimant; Dimitrios Gunopulos
Pubblicato in: Proceedings of the 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Numero 2, 2020
Editore: iopscience
DOI: 10.48550/arxiv.2109.15197

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

Autori: Kansal, Raghav; Duarte, Javier; Orzari, Breno; Tomei, Thiago; Pierini, Maurizio; Touranakou, Mary; Vlimant, Jean-Roch; Gunopulos, Dimitrios
Pubblicato in: Third Workshop on Machine Learning and the Physical Sciences, 2020
Editore: NeurIPS

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

Autori: 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
Pubblicato in: TinyML Research Symposium 2021, 2021
Editore: TinyML Research
DOI: 10.48550/arxiv.2103.05579

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

Autori: 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
Pubblicato in: Numero 1, 2021
Editore: TinyML Research Symposium 2021

Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows

Autori: Pratik Jawahar1, Thea Aarrestad, Nadezda Chernyavskaya, Maurizio Pierini, Kinga A. Wozniak, Jennifer Ngadiuba, Javier Duarte, Steven Tsan
Pubblicato in: Frontiers in Big Data, 2022, ISSN 2624-909X
Editore: Frontiers
DOI: 10.3389/fdata.2022.803685

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

Autori: Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu
Pubblicato in: The European Physical Journal C, Numero 81/5, 2021, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.1140/epjc/s10052-021-09158-w

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

Autori: 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
Pubblicato in: Machine Learning: Science and Technology, 2020, ISSN 2632-2153
Editore: IOP
DOI: 10.1088/2632-2153/aba042

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

Autori: Chen, Cheng; Cerri, Olmo; Nguyen, Thong Q.; Vlimant, Jean-Roch; Pierini, Maurizio
Pubblicato in: Computing and Software for Big Science, 2021, ISSN 2510-2036
Editore: Springer Nature

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

Autori: 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
Pubblicato in: The European Physical Journal C, Numero 80/7, 2020, ISSN 1434-6044
Editore: 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

Autori: 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
Pubblicato in: Frontiers in Big Data, Numero 3, 2021, ISSN 2624-909X
Editore: Frontier
DOI: 10.3389/fdata.2020.598927

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics.

Autori: Kasieczka, Gregor; Nachman, Benjamin; Shih, David; Amram, Oz; Andreassen, Anders; Benkendorfer, Kees; Bortolato, Blaz; Brooijmans, Gustaaf; Canelli, Florencia; Collins, Jack H.; Dai, Biwei; De Freitas, Felipe F.; Dillon, Barry M.; Dinu, Ioan-Mihail; Dong, Zhongtian; Donini, Julien; Duarte, Javier; Faroughy, D.A.; Gonski, Julia; Harris, Philip; Kahn, Alan; Kamenik, Jernej F.; Khosa, Charanjit K.; K
Pubblicato in: Reports on Progress in Physics, 2021, ISSN 0034-4885
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6633/ac36b9

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Autori: 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
Pubblicato in: Journal of Instrumentation, Numero 15/05, 2020, Pagina/e P05026-P05026, ISSN 1748-0221
Editore: Institute of Physics
DOI: 10.1088/1748-0221/15/05/p05026

Lightweight jet reconstruction and identification as an object detection task

Autori: Adrian Alan Pol, Thea Aarrestad, Ekaterina Govorkova, Roi Halily, Anat Klempner, Tal Kopetz, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Olya Sirkin
Pubblicato in: Machine Learning: Science and Technology, 2022, ISSN 2632-2153
Editore: IOP
DOI: 10.1088/2632-2153/ac7a02

A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC

Autori: Giuseppe Di Guglielmo; Farah Fahim; Christian Herwig; Manuel Blanco Valentin; Javier Duarte; Cristian V. Gingu; Philip Harris; J. Hirschauer; Martin Kwok; Vladimir Loncar; Yingyi Luo; Llovizna Miranda; Jennifer Ngadiuba; D. Noonan; Seda Ogrenci-Memik; Maurizio Pierini; Sioni Summers; Nhan Tran
Pubblicato in: IEEE Transactions on Nuclear Science, Numero 2, 2021, ISSN 0018-9499
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tns.2021.3087100

Autoencoders on FPGAs for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider

Autori: Govorkova, Ekaterina; Puljak, Ema; Aarrestad, Thea; James, Thomas; Loncar, Vladimir; Pierini, Maurizio; Pol, Adrian Alan; Ghielmetti, Nicolò; Graczyk, Maksymilian; Summers, Sioni; Ngadiuba, Jennifer; Nguyen, Thong Q.; Duarte, Javier; Wu, Zhenbin
Pubblicato in: Nature Machine Intelligence, 2022, ISSN 2522-5839
Editore: Nature Research
DOI: 10.48550/arxiv.2108.03986

The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

Autori: Thea Aarrestad; Melissa van Beekveld; Marcella Bona; Antonio Boveia; Sascha Caron; Joe Davies; Andrea de Simone; Caterina Doglioni; Javier Duarte; Amir Farbin; Honey Gupta; Luc Hendriks; Lukas A. Heinrich; James Howarth; Pratik Jawahar; Adil Jueid; Jessica Lastow; Adam Leinweber; Judita Mamuzic; Erzsébet Merényi; Alessandro Morandini; Polina Moskvitina; Clara Nellist; Jennifer Ngadiuba; Bryan Os
Pubblicato in: SciPost physics 12(1), 043 (2022). doi:10.21468/SciPostPhys.12.1.043, Numero 13, 2022, ISSN 2542-4653
Editore: SciPost
DOI: 10.21468/scipostphys.12.1.043

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

Autori: 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
Pubblicato in: The European Physical Journal C, Numero 80/1, 2020, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.1140/epjc/s10052-020-7608-4

Learning multivariate new physics

Autori: Raffaele Tito D’Agnolo, Gaia Grosso, Maurizio Pierini, Andrea Wulzer, Marco Zanetti
Pubblicato in: The European Physical Journal C, Numero 81/1, 2021, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.1140/epjc/s10052-021-08853-y

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

Autori: Nicolò Ghielmetti; Vladimir Loncar; Maurizio Pierini; Marcel Roed; Sioni Summers; Thea Aarrestad; Christoffer Petersson; Hampus Linander; Jennifer Ngadiuba; Kelvin Lin; Philip Harris
Pubblicato in: Machine Learning: Science and Technology, 3 (4), Numero 2, 2022, ISSN 2632-2153
Editore: IOP Science
DOI: 10.48550/arxiv.2205.07690

Learning new physics efficiently with nonparametric methods

Autori: Marco Letizia; Gianvito Losapio; Marco Rando; Gaia Grosso; Andrea Wulzer; Maurizio Pierini; Marco Zanetti; Lorenzo Rosasco
Pubblicato in: European Physical Journal, Numero 12, 2022, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.48550/arxiv.2204.02317

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

Autori: Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini
Pubblicato in: The European Physical Journal C, Numero 79/7, 2019, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.1140/epjc/s10052-019-7113-9

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

Autori: T. Q. Nguyen, D. Weitekamp, D. Anderson, R. Castello, O. Cerri, M. Pierini, M. Spiropulu, J-R. Vlimant
Pubblicato in: Computing and Software for Big Science, Numero 3/1, 2019, ISSN 2510-2036
Editore: 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

Autori: Adrian Alan Pol, Gianluca Cerminara, Cecile Germain, Maurizio Pierini, Agrima Seth
Pubblicato in: Computing and Software for Big Science, Numero 3/1, 2019, ISSN 2510-2036
Editore: Springer International Publishing
DOI: 10.1007/s41781-018-0020-1

Fast inference of deep neural networks in FPGAs for particle physics

Autori: J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, Z. Wu
Pubblicato in: Journal of Instrumentation, Numero 13/07, 2018, Pagina/e P07027-P07027, ISSN 1748-0221
Editore: Institute of Physics
DOI: 10.1088/1748-0221/13/07/P07027

Pileup mitigation at the Large Hadron Collider with graph neural networks

Autori: J. Arjona Martínez, O. Cerri, M. Spiropulu, J. R. Vlimant, M. Pierini
Pubblicato in: The European Physical Journal Plus, Numero 134/7, 2019, ISSN 2190-5444
Editore: Springer Science + Business Media
DOI: 10.1140/epjp/i2019-12710-3

Variational autoencoders for new physics mining at the Large Hadron Collider

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

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

Autori: 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
Pubblicato in: Computing and Software for Big Science, Numero 3/1, 2019, ISSN 2510-2036
Editore: Springer
DOI: 10.1007/s41781-019-0027-2

The DNNLikelihood: enhancing likelihood distribution with Deep Learning

Autori: Andrea Coccaro, Maurizio Pierini, Luca Silvestrini, Riccardo Torre
Pubblicato in: The European Physical Journal C, Numero 80/7, 2020, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.1140/epjc/s10052-020-8230-1

Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders

Autori: Mary Touranakou; Nadezda Chernyavskaya; Javier Duarte; Dimitrios Gunopulos; Raghav Kansal; Breno Orzari; Maurizio Pierini; Thiago Tomei; Jean-Roch Vlimant
Pubblicato in: Machine Learning: Science and Technology, 2022, ISSN 2632-2153
Editore: IOP Science
DOI: 10.1088/2632-2153/ac7c56

Jet Single Shot Detection

Autori: Adrian Alan Pol; Thea Klaeboe Aarrestad; Katya Govorkova; Roi Halily; Anat Klempner; Tal Kopetz; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Olya Sirkin; Sioni Summers
Pubblicato in: EPJ Web of Conferences, Vol 251, p 04027 (2021), Numero 2, 2021, ISSN 2100-014X
Editore: EDP Science
DOI: 10.48550/arxiv.2105.05785

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

Autori: Claudionor Coelho; Aki Kuusela; Li Shan; Hao Zhuang; Jennifer Ngadiuba; Thea Klaeboe Aarrestad; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Sioni Summers
Pubblicato in: Nature Machine Intelligence, Numero 3, 2021, ISSN 2522-5839
Editore: Nature Research
DOI: 10.1038/s42256-021-00356-5

LHC physics dataset for unsupervised New Physics detection at 40 MHz

Autori: Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Maurizio Pierini; Kinga Anna Woźniak; Jennifer Ngadiuba
Pubblicato in: Scientific Data, Numero 4, 2022, ISSN 2052-4463
Editore: Nature Research
DOI: 10.48550/arxiv.2107.02157

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

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

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

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

Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders

Autori: Eric A Moreno; Bartlomiej Borzyszkowski; Maurizio Pierini; Jean-Roch Vlimant; Maria Spiropulu
Pubblicato in: Machine Learning: Science and Technology, 2022, ISSN 2632-2153
Editore: IOP Science
DOI: 10.1088/2632-2153/ac5435

Fast convolutional neural networks on FPGAs with hls4ml

Autori: Thea Klaeboe Aarrestad; Vladimir Loncar; Nicolò Ghielmetti; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier Duarte; Philip Harris; Dylan Rankin; Sergo Jindariani; Kevin Pedro; Nhan Tran; Mia Liu; Edward Kreinar; Zhenbin Wu; Duc Hoang
Pubblicato in: Machine Learning: Science and Technology, 2021, ISSN 2632-2153
Editore: IOP Science
DOI: 10.1088/2632-2153/ac0ea1

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Autori: Shah Rukh Qasim; Nadezda Chernyavskaya; Jan Kieseler; Kenneth Long; Oleksandr Viazlo; Maurizio Pierini; Raheel Nawaz
Pubblicato in: European Physical Journal, Numero 4, 2022, ISSN 1434-6044
Editore: Springer Verlag
DOI: 10.48550/arxiv.2204.01681

Unravelling physics beyond the standard model with classical and quantum anomaly detection

Autori: Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Barkoutsos, Ivano Tavernelli
Pubblicato in: 2023
Editore: CERN

LHC analysis-specific datasets with Generative Adversarial Networks

Autori: Hashemi, Bobak; Amin, Nick; Datta, Kaustuv; Olivito, Dominick; Pierini, Maurizio
Pubblicato in: Numero 1, 2019
Editore: CERN

Quantum anomaly detection in the latent space of proton collision events at the LHC

Autori: Kinga Anna Woźniak, Vasilis Belis, Ema Puljak, Panagiotis Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa
Pubblicato in: 2023
Editore: CERN

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

Autori: Pol, Adrian Alan
Pubblicato in: https://tel.archives-ouvertes.fr/tel-02924477, Numero 5, 2020
Editore: LRI - Laboratoire de Recherche en Informatique

Apprentissage pour la détection d'anomalies, avec application au contrôle de qualité d'acquisition de données de l'expérience Compact Muon Solenoid

Autori: Pol, Adrian Alan
Pubblicato in: https://tel.archives-ouvertes.fr/tel-02924477, Numero 2, 2020
Editore: Inria Saclay

Distributed Training and Optimization Of Neural Networks

Autori: Vlimant, Jean-Roch; Yin, Junqi
Pubblicato in: Artificial Intelligence for High Energy Physics, Numero 1, 2022, ISBN 978-981-123-403-3
Editore: World Scientific
DOI: 10.48550/arxiv.2012.01839

Graph Neural Networks for Particle Tracking and Reconstruction

Autori: Duarte, Javier; Vlimant, Jean-Roch
Pubblicato in: Artificial Intelligence for High Energy Physics, Numero 2, 2022
Editore: World Scientific
DOI: 10.48550/arxiv.2012.01249

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