Name: IN2P3/IRFU Machine Learning workshop 2026
Start: 2026-11-16T10:00:00+01:00
End: 2026-11-18T16:00:00+01:00
Location: LPSC

IN2P3/IRFU Machine Learning workshop 2026

de lundi 16 novembre 2026 (10:00) à mercredi 18 novembre 2026 (16:00)

lundi 16 novembre 2026

11:30 Registration and welcome lunch
Registration and welcome lunch
11:30 - 13:30
Room: Amphitheatre
13:30 Welcome address: Accueil du LPSC
Accueil du LPSC
13:30 - 14:10
Room: Amphitheatre
Contributions

13:30 Welcome address by the LPSC director - Laurent Derome (LPSC)

13:50 Welcome address by local organization committee
14:10 Signal Processing, Calibration and Reconstruction
14:10 - 15:10
Room: Amphitheatre
Contributions

14:10 Multi-Parameter Calibration and Uncertainty Propagation in LArTPCs Using Differentiable Simulation - Pierre Granger (CERN)

14:30 Deep Learning for Extracting Spectra form JWST Spectrograms - Soorya Narayan Rajeshkumar (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)

14:50 A plug-and-play approach for tomographic weak-lensing mass mapping - Hubert Leterme (CEA IRFU/DAp)
15:10 Real-Time AI, Trigger and Edge Computing
15:10 - 15:30
Room: Amphitheatre
Contributions

15:10 R&T Think2 - Sebastien Viret (IPN Lyon)
15:30 ☕
☕
15:30 - 16:00
16:00 AI for Scientific Instruments and Accelerators
16:00 - 17:25
Room: Amphitheatre
Contributions

16:00 Physical and ML models for simulating spectroscopy instruments - Julien Zoubian (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)

16:20 Unsupervised Machine Learning for Anomaly Detection in Beam Position Monitors Data - Quentin Bruant (CEA/IRFU/DACM)

16:40 ARTIFACT network - Adnan Ghribi ({CNRS}UPR3266)

17:00 The iRIS project : intelligent research infrastructures - Adnan Ghribi ({CNRS}UPR3266)

17:20 Machine learning surrogate models for collective effects studies in the FCC-ee High-Energy Booster - Keon Hee Kim (CNRS/GANIL)
mardi 17 novembre 2026
09:00 AI Ecosystem: Infrastructure, Open Science and Community
09:00 - 10:25
Room: Amphitheatre
Contributions

09:00 Jean Zay for AI in Physics: Resources, Access and Getting Started - Stéphane Ilic (IDRIS)

09:30 LLM and agents - François Portet (IMAG) Maxime Calka (UGA)

10:00 Lightcone Research: an open ecosystem for reproducible, composable and verifiable physics analyses in the age of AI agents - Alexandre Boucaud (APC / IN2P3)

10:20 French tokens for everyone : partnering with the ILaaS Federation - Alexandre Boucaud (APC / IN2P3)
10:25 ☕
☕
10:25 - 10:55
10:55 AI for Physics Analysis, Inference and Discovery: Part 1
Part 1
10:55 - 12:35
Room: Amphitheatre
Contributions

10:55 Accelerating Weather Forecasts with Artificial Intelligence - Mikaël Jacquemont (Bull SAS)

11:25 emulating accurately and consistently the cosmological power spectrum and the halo mass function - johan comparat

11:45 Speeding-up the search for anomalies in ZTF time series with interpretable machine learning - Emmanuel Gangler (LPC)

12:05 AI/ML for large galaxy survey analyses - Agnès Ferté (LPNHE)

12:25 Revisiting Nuclear Cross Sections for Cosmic Rays with Gaussian Processes - Anthony Correia (LPSC,IN2P3/CNRS/UGA)

12:30 Physics-informed impedance-model-agnostic reconstruction of point-charge wakefields from finite bunch electromagnetic simulations - Keon Hee Kim (CNRS/GANIL)
12:35 Lunch
Lunch
12:35 - 14:00
Room: Amphitheatre
14:00 AI Ecosystem: Infrastructure, Open Science and Community
14:00 - 14:50
Room: Amphitheatre
Contributions

14:00 Beyond efficiency: Frugal AI - Sophie CERF (INRIA)

14:30 MIAI Cluster: the Grenoble Alpes AI cluster and what it offers to physics - Cyrille Doux (LPSC)
14:50 AI for Physics Analysis, Inference and Discovery: Part 2
Part 2
14:50 - 16:00
Room: Amphitheatre
Contributions

14:50 Hybrid Latent-Space Inference for Galaxy Deblending - Anna Preto

15:10 Accurate and efficient simulation-based inference for massive black-hole binaries with LISA - Alice Spadaro (L2I Toulouse, CNRS/IN2P3, Université de Toulouse)

15:30 MODULARITY: A Modular Architecture for Distributed Autonomous Scientific Discovery - Hayg Guler (IJCLAB)

15:50 Machine Learning-Based Event Categorisation for Higgs-to-Dimuon Analyses - Somanko Saha
16:00 ☕
☕
16:00 - 16:30
16:30 AI for Physics Analysis, Inference and Discovery: Part 3
Part 3
16:30 - 17:45
Room: Amphitheatre
Contributions

16:30 Self Organised Randoms for correcting systematic effects in Euclid photometric galaxy clustering. - Jérôme Odier (LPSC Grenoble)

16:50 LIS² (Large Image Split Segmentation): A Modular Research Software Framework for Deep Learning on Large-Scale Scientific Images - Dominique Benielli (Aix Marseille Univ, CNRS, LIS, Marseille, France)

17:10 Cosmology using topological data analysis with SBI - Cyrille Doux (LPSC)

17:30 Lorentz-Equivariant Transformers for ttX multi-lepton final state at the LHC - JINU RAJ
18:30 Social Diner
Social Diner
18:30 - 22:30
mercredi 18 novembre 2026
09:00 Event/Object Reconstruction and Identification
09:00 - 10:45
Room: Amphitheatre
Contributions

09:00 GammaLearn: deep-learning event reconstruction for the CTAO - Results and Lessons learned between 2017 and 2026 - Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)

09:20 Machine Learning for event reconstruction with uncertainty quantification in the ClearMind ultra-fast detector - Théo Kaprélian (Université Paris-Saclay, CEA, Service de Génie Logiciel pour la Simulation, Gif-surYvette, 91191, Franc)

09:40 Transformers for reconstruction of electromagnetic showers in calorimeters - Yuliia Maidannyk (CEA-IRFU)

10:00 Upgrade II LHCb calorimeter real-time reconstruction with GNN - Aniol Lobo Salvia (CNRS - LAPP)

10:20 SPINE for DUNE - Nived PUTHUMANA MELEPPATTU (IJCLab)

10:40 A machine learning approach to stellar stream detection in photometric surveys - Matthieu Pelissier (LPSC/UGA)
10:45 ☕
☕
10:45 - 11:15
Room: Amphitheatre
11:15 AI at IN2P3/CNRS and at CEA/Irfu
11:15 - 12:30
Room: Amphitheatre
Contributions

11:15 Stratégie IA à l'IN2P3 - vers un GDR - Julien DONINI (UBP/LPC/IN2P3)
12:30 Lunch
Lunch
12:30 - 14:00
Room: Amphitheatre
14:00 Foundation Models, Representation Learning and Generative AI
14:00 - 15:25
Room: Amphitheatre
Contributions

14:00 Performance of Tabular Foundation Models for analysis of 4-vectors LHC final states with the FAIR Universe HiggsML Dataset - David Rousseau (IJCLab, Université Paris-Saclay)

14:20 CaloFound: towards a foundation model for calorimetry - Mehmet Ozgur Sahin (CEA-Saclay)

14:40 The Limits of Foundation Models for Jet Physics: Tagging, Generation, Scaling and Anomalies - Humberto Reyes-Gonzalez (RWTH Aachen)

15:00 Improving neural generative models with density estimation and Monte-Carlo resampling - Tuan Pham (IJCLab - Paris Saclay)

15:20 FoSFor : Multiscale Graph Representations from Forest-Based Coarse-Graining - Dominique BENIELLI (Aix Marseille Université) Sacha Duverger (Aix Marseille Univ, CNRS, I2M, Marseille, France)
15:25 Closing: Closing
Closing
15:25 - 15:35
Room: Amphitheatre
Contributions

15:25 Closing