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sorted by
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The Tracking Machine Learning challenge : Accuracy phase2019
Preprints, Working Papers, ...
hal-02129988v1
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The Tracking Machine Learning ChallengeNIPS workshop: Challenges in Machine Learning (CiML), Dec 2016, Barcelona, Spain
Conference poster
hal-01422941v1
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The ATLAS Higgs Boson Machine Learning ChallengeInternational Conference on High Energy Physics(ICHEP) Conference, Jul 2014, Valencia, Spain
Conference papers
hal-01111177v1
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Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron ColliderComputing and Software for Big Science, 2019, 3 (1), ⟨10.1007/s41781-018-0020-1⟩
Journal articles
hal-02427998v1
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Learning to discover: the Higgs boson machine learning challengeOther publications hal-01104487v1 |
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La science des données pour les données de la science9th Journées Informatique de l'IN2P3-IRFU, Oct 2014, Le Grau du Roi, France
Conference papers
in2p3-01076155v1
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Towards adaptive learning and inference - Applications to hyperparameter tuning and astroparticle physicsMethodology [stat.ME]. Université Paris Sud - Paris XI, 2012. English. ⟨NNT : ⟩
Theses
tel-00773295v1
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TrackML : a tracking Machine Learning challenge39th 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 phaseComputing 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 femtosecondesScience 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 températurePhysique mathématique [math-ph]. Université Grenoble Alpes [2020-..], 2023. Français. ⟨NNT : 2023GRALM010⟩
Theses
tel-04189279v1
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Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS ExperimentMachine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada
Conference papers
hal-02428005v1
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XEMIS2: A liquid xenon Compton camera to image small animalsIEEE International Conference on Dielectric Liquids, Jun 2019, Roma, Italy. ⟨10.1109/ICDL.2019.8796534⟩
Conference papers
hal-02392898v1
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The Higgs boson machine learning challengeNIPS 2014 Workshop on High-energy Physics and Machine Learning, Dec 2014, Montreal, Canada. pp.37
Conference papers
hal-01208587v1
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TrackML: a LHC Tracking Machine Learning ChallengeInternational Conference on Computing in High Energy and Nuclear Physics, Oct 2016, San Francisco, United States
Conference papers
hal-01422939v1
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Investigating strong-field QED processes in laser-electron beam collisions at Apollon2021
Preprints, Working Papers, ...
hal-03229914v1
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Synergy of Volunteer Measurements and Volunteer Computing for Effective Data Collecting, Processing, Simulating and Analyzing on a Worldwide Scale38th 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 DetectionArtificial 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 beyond25th 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 Collider2019
Preprints, Working Papers, ...
hal-01976256v1
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