Name: IN2P3/IRFU Machine Learning workshop 2024
Start: 2024-11-20T13:00:00+01:00
End: 2024-11-22T13:00:00+01:00
Location: IPHC, Strasbourg

IN2P3/IRFU Machine Learning workshop 2024

de mercredi 20 novembre 2024 (13:00) à vendredi 22 novembre 2024 (13:00)

lundi 18 novembre 2024
mardi 19 novembre 2024
mercredi 20 novembre 2024

13:30 Badge distribution
Badge distribution
13:30 - 14:00
Room: Amphi Grïnewald
14:00
14:00 - 18:00
Room: Amphi Grïnewald
Contributions

14:00 Welcome

14:15 The development of innovative methods for fission trigger construction - Brigitte PERTILLE RITTER (IJCLab - Université Paris-Saclay)

14:40 Deep learning methods with uncertainity estimation for gamma photon interactions reconstruction in fast scintillators - Dominique Yvon (CEA Saclay - IRFU/SPP)

15:05 Embedded Neural Networks on FPGAs for Real-Time Computation of the Energy Deposited in the ATLAS Liquid Argon Calorimeter - Georges AAD (CPPM)

16:00 RAG-LAB: LLMs dans les laboratoires - Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)

16:10 Projet IN2P3 Machine Learning - David Rousseau (IJCLab, Université Paris-Saclay) Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)

16:25 Quelles actions futures pour le projet IN2P3 Machine Learning ?
jeudi 21 novembre 2024
09:00
09:00 - 13:00
Room: Amphi Grïnewald
Contributions

09:00 GammaLearn : deep learning applied to CTAO event reconstruction - Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)

09:25 Stereograph: stereoscopic event reconstruction using graph neural networks applied to CTAO - Hana Ali Messaoud (LAPP, Univ. Savoie Mont-Blanc)

09:50 Interpretability of anomalies in featurized data with signatures - Emmanuel Gangler (LPC)

10:45 Gamma-ray spectrometry of fission fragments : ML analysis of multi-dimensional spectra - Mattéo Ballu

11:10 Utilizing machine learning for the Data Analysis of AGATA’s PSA database. - Mojahed Abushawish (Lyon-IP2I)

11:35 Grants for AI project - David Rousseau (IJCLab, Université Paris-Saclay) Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)
14:00
14:00 - 18:20
Room: Amphi Grïnewald
Contributions

14:00 Anomaly detection and noise reduction in Turn by Turn BPMs signals of SuperKEKB main rings - Abdelaziz Guelfane (CentraleSupélec) Ismail Cherkaoui (CentraleSupélec)

14:25 Exploration de données et apprentissage automatique pour la détection d'anomalies sur l'accélérateur Arronax - Fatima Basbous (Arronax)

14:50 High-resolution image reconstruction with unsupervised learning and noisy data applied to ion-beam dynamics - Francis Osswald (IPHC)

15:15 Heat load observer studies on SPIRAL2 data - Charly Lassalle (Université de Caen Normandie / GANIL)

16:10 Echo State Network for Dynamic Aperture prediction - Valérie Gautard (CEA-Irfu)

16:35 Modelling dynamical systems: Learning ODEs with no internal ODE resolution - Hayg Guler (IJCLAB)

17:00 ALESIA: Superconducting magnet design through multi-physics optimisation - Damien Minenna (CEA/Irfu/DACM)
19:30 Dinner at Brasserie Meteor
Dinner at Brasserie Meteor
19:30 - 22:30
vendredi 22 novembre 2024
09:00
09:00 - 13:00
Room: Amphi Grïnewald
Contributions

09:00 Parameter Estimation with Neural Simulation-Based Inference in ATLAS - David Rousseau (IJCLab, Université Paris-Saclay)

09:25 Fair Universe HiggsML Uncertainty Challenge - RAGANSU CHAKKAPPAI (IJCLab-Orsay)

09:50 The application of modular neural networks in map reconstruction - Leonora Kardum

10:15 Deep Learning for Non-Invasive Identification, Social Network Analysis and Behavioral Recognition of Japanese Macaques: Toward a Comprehensive AI-Driven Primate Society Study - Julien Paulet

11:10 AISSAI center : AI for Science, Science for AI - Julien Donini (UBP/LPC/IN2P3)

11:35 IntheArt - Valérie Gautard (CEA-Irfu)

12:00 Farewell - David Rousseau (IJCLab, Université Paris-Saclay) Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)