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7th Inter-Experimental LHC Machine Learning Workshop
Description
This is the seventh annual workshop of the LPCC inter-experimental machine learning working group.
The workshop will be held on 19May-23May 2025 at CERN in a hybrid format, with remote participation made possible.
Confirmed invited speakers
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Aishik Ghosh (UC Irvine)
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Patrick Kidger (Cradle.bio)
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Claudius Krause (Vienna, ÖAW)
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Ilaria Luise (ECMWF)
- Antonin Raffin (German Aerospace Center)
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Enrique Rico Ortega (CERN)
- Ricardo Rocha (CERN)
-
Eric Wulff (CERN)
Warning
If you receive any email by a "Global Travel Experts" company or any other similar company requesting your itinerary or other personal information or promising accommodation, please be aware it is a scam, and please report it to the CERN IT department https://information-technology.web.cern.ch/.
Workshop format
Following the success of the last edition format, the structure of the workshop in terms of contributions is focused on poster presentations. The reason behind this approach is to be able to allocate a large number of contributions while promoting a strong interaction between the presenters/participants. For this reasons, we require the poster presenters to attend in person. A small number of contributed submissions will be selected for oral presentations.
You will have to arrange for your own accommodation, either in the CERN Hostel (https://edh.cern.ch/Hostel/, subject to room availability) or in nearby hotels.
Please make sure to be registered to lhc-machinelearning-wg@cern.ch CERN egroup, to be informed of any unforeseen circumstance.
The preliminary structure of the workshop includes:
- Tutorials
- Plenary invited talks from academy
- Plenary invited talks from industry
- Poster sessions
- Plenary contributed talks
A satellite workshop Fair Universe HiggsML Uncertainty CERN workshop https://indico.cern.ch/event/1523250/ is organised on Monday morning.
Workshop tracks
For the contributed posters and potential talks, the following Tracks have been defined:
- ML for object identification and reconstruction
- ML for analysis: Event classification, statistical analysis and inference, anomaly detection
- ML for simulation and surrogate model: Application of ML for simulation or cases of replacing an existing complex model
- LLMs and foundation models
- Fast ML: Application of ML to DAQ/Trigger/Real Time Analysis/Edge Computing
- ML infrastructure: Hardware and software for ML/MLOps
- ML training, courses, tutorials, open datasets and challenges
- ML in astroparticle physics
- ML in phenomenology and theory
- ML for particle accelerators
- Other
IML group
This workshop is organized by the CERN IML coordinators. To keep up to date with ML at LHC, please register to lhc-machinelearning-wg@cern.ch CERN egroup.
Contact
Registration
Registration
7th Inter-experiment Machine Learning Workshop
Zoom Meeting ID
69146736686
Host
Fabio Catalano
Alternative hosts
Sofia Vallecorsa, Lorenzo Moneta, Stefano Carrazza, Daniel Whiteson, Anja Butter, Julian Garcia Pardinas, Verena Kain, Matthias Komm
Useful links
Join via phone
Zoom URL
