21-25 August 2017
University of Washington, Seattle
US/Pacific timezone

ML in theoretical physics: from PDFs to MC tools

21 Aug 2017, 11:30
30m
Auditorium (Alder Hall)

Auditorium

Alder Hall

Oral Plenary

Speaker

Stefano Carrazza (CERN)

Description

We start the discussion by summarizing recent and consolidated
applications of ML in TH-HEP. We then focus our discussion on recent studies about parton distribution functions determination and related tools based on machine learning algorithms and strategies. We conclude by showing future theoretical applications of ML to Monte Carlo codes.

Presentation materials

Peer reviewing

Paper