General Information
The workshop will take place in person at IPHC in Strasbourg from Wednesday 20th Nov 1:00pm till Friday 22nd Nov 1:00pm.
We will have a social gathering on Thursday night.
Registrations are open till Oct 30 2024 !
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.
The call for contribution is not limited to finished work, work in progress or even Expression of Interest are very welcome.
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 contribution might be possible, please refer to your national contact for approval.
The call for contribution is open till September 29 2024 !
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
- Alexandre Boucaud (APC/IN2P3)
- Valérie Gautard (CEA/IRFU)
- David Rousseau (IJCLab/IN2P3)
Local organising committee
- Eric Chabert (IPHC, IN2P3)
- Giulio Dujany (IPHC, IN2P3)
- Jérôme Pansanel (IPHC, IN2P3)
