Jan 15 – 17, 2020
Kimmel Center for University Life
America/New_York timezone

GANning away detector effects

Jan 17, 2020, 10:00 AM
KC 914 (Kimmel Center for University Life)

KC 914

Kimmel Center for University Life

60 Washington Square S, New York, NY 10012


Marco Bellagente (Universität Heidelberg)


ML tools based on generative models, such as cycleGANs and invertible architectures, can be used to address the problem of unfolding detector effects, a challenge for data analysis at hadronic colliders.

Primary authors

Marco Bellagente (Universität Heidelberg) Anja Butter Tilman Plehn Ramon Winterhalder (Universität Heidelberg)

Presentation materials