Welcome and Introduction
- Jean-Roch Vlimant (California Institute of Technology (US))
Jean-Roch Vlimant (California Institute of Technology (US))
Vincenzo Innocente (CERN)
Ellie Dobson (Pivotal)
Mauro Donega (Eidgenoessische Tech. Hochschule Zuerich (CH))
In the early days of the LHC the canonical problems of classification and regression were mostly addressed using simple cut-based techniques. Today, ML techniques (some already pioneered in pre-LHC or non collider experiments) play a fundamental role in the toolbox of any experimentalist. The talk will introduce, through a representative collection of examples, the problems addressed with ML...
Tobias Golling (Universite de Geneve (CH))
ML is an established tool in HEP and there are many examples which demonstrate its importance for the kind of classification and regression problem we have in our field. However, there is also a big potential for future applications in yet untapped areas. I will summarise these opportunities and highlight recent, ongoing and planned studies of novel ML applications in HEP. Certain aspects...