24–26 avr. 2023
LPSC Grenoble
Fuseau horaire Europe/Paris

Can we trust machine learning? Parton distributions as a case study

26 avr. 2023, 11:40
20m
Grand Amphi (LPSC Grenoble)

Grand Amphi

LPSC Grenoble

Methods and Tools Methods and Tools

Orateur

Stefano Forte (Dipartimento di Fisica, Università di Milano)

Description

I discussed some issues that arise when using Machine Learning as an inference tool in the particular context of the determination of parton distributions. Problems I address include: how do we know that the ML model generalizes correctly? Can we detect overlearning? Can we assign an uncertainty to the ML model predictions, and can we validate this assignment?

Auteur principal

Stefano Forte (Dipartimento di Fisica, Università di Milano)

Documents de présentation