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Domains : phys.hexp
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Towards adaptive learning and inference - Applications to hyperparameter tuning and astroparticle physics

Rémi Bardenet
Methodology [stat.ME]. Université Paris Sud - Paris XI, 2012. English. ⟨NNT : ⟩
Theses tel-00773295v1

The Tracking Machine Learning Challenge

David Rousseau , Cécile Germain , Vincenzo Innocente , Riccardo Cenci , Michael Kagan , et al.
NIPS workshop: Challenges in Machine Learning (CiML), Dec 2016, Barcelona, Spain
Conference poster hal-01422941v1

The ATLAS Higgs Boson Machine Learning Challenge

Claire Adam-Bourdarios , Glen Cowan , Cecile Germain , Isabelle Guyon , B. Kegl , et al.
International Conference on High Energy Physics(ICHEP) Conference, Jul 2014, Valencia, Spain
Conference papers hal-01111177v1

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

Adrian Alan Pol , Gianluca Cerminara , Cécile Germain , Maurizio Pierini , Agrima Seth
Computing and Software for Big Science, 2019, 3 (1), ⟨10.1007/s41781-018-0020-1⟩
Journal articles hal-02427998v1

Learning to discover: the Higgs boson machine learning challenge

Claire Adam-Bourdarios , Glen Cowan , Cecile Germain , Isabelle Guyon , Balázs Kégl , et al.
Other publications hal-01104487v1

La science des données pour les données de la science

Balázs Kégl
9th Journées Informatique de l'IN2P3-IRFU, Oct 2014, Le Grau du Roi, France
Conference papers in2p3-01076155v1

The Tracking Machine Learning challenge : Accuracy phase

Sabrina Amrouche , Laurent Basara , Paolo Calafiura , Victor Estrade , Steven Farrell , et al.
2019
Preprints, Working Papers, ... hal-02129988v1

TrackML : a tracking Machine Learning challenge

Tobias Golling , Sabrina Amrouche , Moritz Kiehn , Paolo Calafiura , Steven Farrell , et al.
39th International Conference on High Energy Physics, Jul 2018, Seoul, South Korea. pp.159, ⟨10.22323/1.340.0159⟩
Conference papers hal-02302743v1
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The Tracking Machine Learning challenge : Throughput phase

Sabrina Amrouche , Laurent Basara , Paolo Calafiura , Dmitry Emeliyanov , Victor Estrade , et al.
Computing and Software for Big Science, 2023, 7 (1), pp.1. ⟨10.1007/s41781-023-00094-w⟩
Journal articles hal-03159824v2
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Assemblage de verre sur verre par impulsions laser femtosecondes

Marion Gstalter
Science des matériaux [cond-mat.mtrl-sci]. Université de Strasbourg, 2018. Français. ⟨NNT : 2018STRAD037⟩
Theses tel-03081296v1
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Modélisation et simulation numérique de l'étalement d'un fluide dense et à haute température

Thomas Schiano
Physique mathématique [math-ph]. Université Grenoble Alpes [2020-..], 2023. Français. ⟨NNT : 2023GRALM010⟩
Theses tel-04189279v1
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Investigating strong-field QED processes in laser-electron beam collisions at Apollon

M Grech , L Lancia , I A Andriyash , P Audebert , A Beck , et al.
2021
Preprints, Working Papers, ... hal-03229914v1
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The Higgs boson machine learning challenge

Claire Adam-Bourdarios , Glen Cowan , Cécile Germain , Isabelle Guyon , Balázs Kégl , et al.
NIPS 2014 Workshop on High-energy Physics and Machine Learning, Dec 2014, Montreal, Canada. pp.37
Conference papers hal-01208587v1
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Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Adrian Alan Pol , Victor Berger , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada
Conference papers hal-02428005v1

TrackML: a LHC Tracking Machine Learning Challenge

David Rousseau , Paolo Calafiura , Cecile Germain , Vincenzo Innocente , Riccardo Cenci , et al.
International Conference on Computing in High Energy and Nuclear Physics, Oct 2016, San Francisco, United States
Conference papers hal-01422939v1
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XEMIS2: A liquid xenon Compton camera to image small animals

Yuwei Zhu , Stéphane Acounis , Nicolas Beaupère , Jean-Luc Beney , Julien Bert , et al.
IEEE International Conference on Dielectric Liquids, Jun 2019, Roma, Italy. ⟨10.1109/ICDL.2019.8796534⟩
Conference papers hal-02392898v1

Synergy of Volunteer Measurements and Volunteer Computing for Effective Data Collecting, Processing, Simulating and Analyzing on a Worldwide Scale

Nikita Gordienko , Oleg Lodygensky , Gilles Fedak , Yuri Gordienko
38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2015); Distributed Computing, Visualization and Biomedical Engineering (DC VIS), May 2015, Opatija, Croatia
Conference papers in2p3-01141528v1
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Data Quality Monitoring Anomaly Detection

Adrian Alan Pol , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
Artificial Intelligence for High Energy Physics, World Scientific, 2022, ⟨10.1142/9789811234033_0004⟩
Book sections hal-03159873v1
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Automated Code Generation for Lattice Quantum Chromodynamics and beyond

Denis Barthou , Olivier Brand-Foissac , Olivier Pene , Gilbert Grosdidier , Romain Dolbeau , et al.
25th IUPAP Conference on Computational Physics (CCP2013), Aug 2013, Moscow, Russia. pp.012005, ⟨10.1088/1742-6596/510/1/012005⟩
Conference papers hal-00926513v1
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Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider

Adrian Alan Pol , Gianluca Cerminara , Cécile Germain , Maurizio Pierini , Agrima Seth
2019
Preprints, Working Papers, ... hal-01976256v1