Conveners
Welcome and Introduction
- Jean-Roch Vlimant (California Institute of Technology (US))
Mauro Donega
(Eidgenoessische Tech. Hochschule Zuerich (CH))
09/11/2015, 11:00
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))
09/11/2015, 11:40
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...
