Name: IN2P3/IRFU Machine Learning workshop
Start: 2022-09-26T09:00:00+02:00
End: 2022-09-28T17:00:00+02:00
Location: APC, Paris

IN2P3/IRFU Machine Learning workshop

de lundi 26 septembre 2022 (09:00) à mercredi 28 septembre 2022 (17:00)

lundi 26 septembre 2022
10:30
10:30 - 12:30
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
Contributions

11:00 Introduction - Alexandre Boucaud (APC / IN2P3) David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay) Valérie Gautard (CEA-Irfu)

11:20 Round table

11:40 Boosting event generation and inference with new machine learning methods - Anja Butter (ITP U Heidelberg/LPNHE)
14:00
14:00 - 18:00
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
Contributions

14:00 Maximum-A-posteriori estimate with Deep generative NEtworks for Source Separation (MADNESS) - Biswajit Biswas (APC)

14:20 Classification of astrophysical image time series using convolutional attention - Anass BAIROUK Dominique Fouchez (CPPM)

14:40 Convolutional neural networks demultiplexing in large Micromegas detectors for muography purposes - Baptiste Lefevre (CEA/DRF/IRFU/DPhP)

15:00 Machine Learning Algorithms for the Gamma Conversion Reconstruction in the ClearMind Project - Chi-Hsun Sung (IRFU)

15:50 M4CAST : an emerging national collaborative effort for IA applications to accelerators physics and technologies - Adnan Ghribi ({CNRS}UPR3266)

16:10 Echo State Networks for Dynamic Aperture prediction - Barbara Dalena (IRFU)

16:30 LinacNet: a new architecture for linear accelerator surrogate model - Emmanuel GOUTIERRE ({CNRS}UMR9012)

16:50 Hackathon to fill in IN2P3 ML web site
mardi 27 septembre 2022
09:00
09:00 - 12:30
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
Contributions

09:00 An EIM-based compression-extrapolation tool for efficient treatment of homogenized cross-section data - Olivier Truffinet

09:20 Calibration and evaluation of an unsupervised machine learning algorithm for β+ imaging using an intracerebral micro probe - Samir El ketara (IJCLab, Université Paris-Saclay)

09:40 Classification of Brain tumour tissues in Human Patients using Machine Learning - Françoise BOUVET (IJCLab)

10:00 Optimized Reconstruction of the Position of Interaction in High-Performances γ-Cameras - Théo Bossis (IJCLab/CNRS)

10:50 Dealing with uncertainties in Machine Learning - Geoffrey Daniel (CEA/DES/ISAS/DM2S/STMF/LGLS)

11:40 Scope of IN2P3 ML project - Alexandre Boucaud (APC / IN2P3) David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay)
14:00
14:00 - 18:00
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
Contributions

14:00 AISSAI semestre IN2P3 - Jalal Fadili (CNRS/INS2I)

14:20 IN2P3 School of Statistics - Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)

14:40 Enhanced GNN models for track reconstruction with ATLAS ITk - Sylvain Caillou (L2I Toulouse, CNRS/IN2P3)

15:00 Reconstruction of electromagnetic showers in calorimeters using Deep Learning - Polina Simkina (CEA-Saclay)

15:20 Missing data reconstruction using ML techniques in the gaseous TPC PandaX-III experiment - Andrii Lobasenko (CEA-Saclay/IRFU/DPhN)

16:10 GNN for hadronic flow calibration in ATLAS - Ana Paula Pereira Peixoto (Laboratoire de Physique Subatomique et de Cosmologie de Grenoble (LPSC/CNRS))

16:30 Multiview Symbolic Regression - Etienne Russeil (Université Clermont Auvergne, LPC, Clermont Ferrand, France)

16:50 Multi-objective optimization for the CMS High Granularity Calorimeter Level 1 trigger - Alexandre Hakimi (LLR, école polytechnique/CNRS)

17:10 European Open Science Cloud : open science, open data - Volker Beckmann (MESR / DGRI / SSRI / A7)
19:00 Reception at BACCAE
Reception at BACCAE
19:00 - 22:00
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
mercredi 28 septembre 2022
09:00
09:00 - 12:30
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
Contributions

09:00 Deep learning for slit-less Spectroscopic Redshift survey Simulator (DISPERS) - Julien Zoubian (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)

09:20 Deep Learning Applied to Cherenkov Telescope Array Images - Michaël Dell'aiera (LAPP, CNRS)

09:40 Data/MC adaptation with adversarial training in KM3NeT - Joao Coelho (APC / CNRS)

10:00 The ELAsTiCC data challenge: preparing the Fink broker for LSST - Emille Ishida (CNRS/LPC-Clermont)

10:50 Neural Posterior Estimation with Differentiable Simulators - Justine Zeghal (APC)

11:10 Auto-tuning of the material mapping with the ACTS track reconstruction suite - Corentin Allaire (IJCLab)

11:30 A reminder of some events : JI 2022 & DL Training - Françoise BOUVET (IJCLab)

11:35 Round table on emerging topic
14:00
14:00 - 17:00
Room: Amphithéatre Pierre Gilles de Gennes (sous-sol)
Contributions

14:00 B decays reconstruction at Belle II using graph neural networks - Jacopo Cerasoli (CNRS - IPHC)

14:20 A new method for the data driven estimation of background using GAN - Victor Lohezic (IRFU (CEA) / Université Paris-Saclay)

14:40 Gamma-ray spectrometry of fission fragments: ML analysis of multi-dimensional spectra - Mattéo Ballu

15:00 AISSAI IN2P3 Machine Learning semester brain storm

15:30 Wrap-up and Farewell - Alexandre Boucaud (APC / IN2P3) David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay) Valérie Gautard (CEA-Irfu)

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