Physique des Hautes Energies - Expérience : 1 à 6 sur 6 au total
Communication dans un congrès
Sylvain Joube, Hadrien Grasland, David Chamont, Joël Falcou. Kiwaku, a C++20 library for multidimensional arrays Application to ACTS tracking. 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP 2023), May 2023, Norfolk, United States. pp.03021, ⟨10.1051/epjconf/202429503021⟩. ⟨hal-04401240⟩
Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth. Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider. 2019. ⟨hal-01976256⟩
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, et al.. The Tracking Machine Learning challenge : Throughput phase. Computing and Software for Big Science, 2023, 7 (1), pp.1. ⟨10.1007/s41781-023-00094-w⟩. ⟨hal-03159824v2⟩
Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth. Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider. Computing and Software for Big Science, 2019, 3 (1), pp.3. ⟨10.1007/s41781-018-0020-1⟩. ⟨hal-02427998⟩
Adrian Alan Pol, Victor Berger, Gianluca Cerminara, Cécile Germain, Maurizio Pierini. Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment. Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada. ⟨hal-02428005⟩
Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini. Data Quality Monitoring Anomaly Detection. Artificial Intelligence for High Energy Physics, World Scientific, 2022, ⟨10.1142/9789811234033_0004⟩. ⟨hal-03159873⟩