Speaker
Vilius Čepaitis
(Université de Genève (CH))
Description
Hadronic object reconstruction & classification is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, highlights of ML/AI applications by ATLAS to QCD and boosted-object identification, MET reconstruction and other tasks will be presented.
Author
Vilius Čepaitis
(Université de Genève (CH))