General Information
This workshop deals with all AI activity at IN2P3 and CEA/IRFU.
The workshop will take place in person in LPSC, Grenoble, from Mon. 16th Nov 10am till Wed. 18th Nov 3pm (details on how to reach the LPSC here).
We will have a free social gathering on Tuesday night.
Introduction
Machine Learning is now potentially impacting many aspects of particle physics, nuclear physics and astroparticle physics.
This workshop covers current developments with Machine Learning at IN2P3 and CEA-IRFU. (On-going ML activities at IN2P3 are updated on https://machine-learning.in2p3.fr)
The workshop will be broadcast on Zoom, link at the bottom of this page, visible to registered participants only.
Note: results from a collaboration might need approval from the relevant collaboration board or national contact. Since this is a national workshop, contributions by students of on-going work within a collaboration might be possible, please refer to your national contact for approval.
Tracks
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Object detection, object identification and reconstruction
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Analysis: event classification, statistical analysis and inference, anomaly detection
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Simulations and surrogate models: replacing an existing complex physical model
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Fast ML: DAQ/Trigger/Real Time Analysis
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Infrastructure : Hardware and software for Machine Learning
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Accelerator control
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Large / multi-model languages for Physics
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Theory and phenomenology
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Training, courses, tutorial, open datasets and challenges
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Others
Mailing list
Please make sure you are subscribed to MACHINE-LEARNING-L@in2p3.fr on IN2P3 listserv and visit our website machine-learning.in2p3.fr to keep up to date with ML at IN2P3.
Organisation
Organisers
- Valérie Gautard (CEA/IRFU)
- David Rousseau (IJCLab/IN2P3)
- Thomas Vuillaume (LAPP/IN2P3)
Local organising committee (LPSC)
Johan Bregeon, Sabine Crépé-Renaudin, Pierre-Antoine Delsart, Cyrille Doux, Fabian Lambert, Juan Macias-Perez, David Maurin, Laurent Neiger, Jérome Odier, Carlo Pandini.