Speaker
Nicholas Luongo
(ANL)
Description
The ATLAS experiment at the Large Hadron Collider relies on advanced machine learning (ML) techniques to enhance the reconstruction and identification of physics objects, optimize detector performance, and improve data analysis strategies. In recent years, ML methods have been extensively developed and integrated across various domains. This talk presents an overview of recent advancements for Physics in ML applications within ATLAS.
Primary authors
ATLAS Collaboration
(CERN)
Nicholas Luongo
(ANL)
