27 novembre 2023 à 1 décembre 2023
Fuseau horaire Europe/Paris

Robustness to Uncertainties in Machine Learning Applications for HEP

1 déc. 2023, 09:00
35m
Architectures (Adversarial, Bayesian, ... ) Architectures

Orateur

tommaso dorigo (INFN Sezione di Padova)

Description

In this presentation I will discuss recent trends in the handling of systematic uncertainties in HEP analysis tasks, and techniques proposed to mitigate or remove their effect in the search for optimal selection criteria and variable transformations.
The approaches discussed include nuisance-parametrized models, modified adversary losses, semi-supervised learning approaches, inference-aware techniques, and other recent developments.

Auteur principal

tommaso dorigo (INFN Sezione di Padova)

Documents de présentation