Débute à
Université de Montréal - Pavillon Claire-McNicoll
Salle Z-209
2900, chemin de la Tour
Montréal
(QC)
Canada
H3T 1J6
Conférence d'Amir Farbin, UTexas à Arlington
Résumé :
I will survey the status of Deep Learning in High Energy Physics, with focus on new emerging techniques. I will discuss the path from the current state of mostly proof of principle and feasibility studies to physics results incorporating the new techniques and eventually incorporating Deep Learning into the production workflow of HEP experiments. And I will propose future Deep Learning projects in HEP.