Speaker
Reina Coromoto Camacho Toro
(LPNHE-Paris CNRS/IN2P3)
Description
Hadronic object reconstruction is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, selected highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and other tasks will be presented.
