Classifying hadronic objects in ATLAS with ML/AI algorithms

Not scheduled
20m
Auditorium (50)

Auditorium

50

Speaker

ATLAS Collaboration

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.

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