ML at ATLAS&CMS : setting the stage

About

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 techniques at the LHC. The goal of the talk is to set the stage for a constructive discussion with non-HEP ML practitioners, focusing on the specificities of HEP applications..

0:00:00 Slide 1

0:00:50 Slide 2

0:01:29 Slide 3

0:02:42 Slide 4

0:02:46 Slide 5

0:04:28 Slide 6

0:05:47 Slide 7

0:08:06 Slide 8

0:09:46 Slide 9

0:10:41 Slide 10

0:11:52 Slide 11