Speaker
Da Xu
(Chinese Academy of Sciences (CN))
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, highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and other tasks will be presented.
| I read the instructions above | Yes |
|---|
Primary authors
Da Xu
(Chinese Academy of Sciences (CN))
Frederic Deliot
(Université Paris-Saclay (FR))
