Speaker
Francesco Cirotto
(Universita Federico II e INFN Sezione di Napoli (IT))
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.
Details
N/A
| Is this abstract from experiment? | Yes |
|---|---|
| Name of experiment and experimental site | ATLAS |
| Is the speaker for that presentation defined? | No |
| Internet talk | Maybe |
Author
Krisztian Peters
(Deutsches Elektronen-Synchrotron (DE))
Co-author
Francesco Cirotto
(Universita Federico II e INFN Sezione di Napoli (IT))
