Speaker
Alex Sopio
(The University of Edinburgh (GB))
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.
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Authors
Alex Sopio
(The University of Edinburgh (GB))
Irena Nikolic
(CNRS / Université Paris Cité)