5th Inter-experiment Machine Learning Workshop

This is the fifth annual workshop of the LPCC inter-experimental machine learning working group at CERN. It will take place at CERN with remote participation made possible.

This is the fourth annual workshop of the LPCC inter-experimental machine learning working group.

The structure is the following :

• Monday 28th March : Tutorials
• Tuesday 29th March : Plenary
• Wednesday 30th March-Friday 1st April:  workshop sessions

The following plenary speakers are confirmed so far:

• Konstantinos Bousmalis (Deepmind Robotics)
• Laurent Daudet (LightOn)
• Anna Goldie (Google Brain)
• Alex Gramfort (INRIA)
• Tommaso Dorigo (U Padova)
• Nils Thuerey (TUM)
• Sofia Vallecorsa (CERN)
• Christoph Weniger (GRAPPA, Amsterdam)

The bulk of the workshop will be be built from contributed talks, for which abstract submission is open (will close 18th Feb 2022). For the contributed talks, the following  Tracks have been defined:

1. ML for object identification and reconstruction
2. ML for analysis : event classification, statistical analysis and inference,   including anomaly detection
3. ML for simulation and surrogate model : Application of Machine Learning to simulation or other cases where it is deemed to replace an existing complex model
4. Fast ML : Application of Machine Learning to DAQ/Trigger/Real Time Analysis
5. ML infrastructure : Hardware and software for Machine Learning
6. ML training, courses, tutorial, open datasets and challenges
7. ML for astroparticle
8. ML for phenomenology and theory
9. ML for particle accelerators
10. Other