Exploring End-to-end Deep Learning Applications for Event Classification at CMS

Exploring End-to-end Deep Learning Applications for Event Classification at CMS

An essential part of new physics searches at the Large Hadron Collider (LHC) at CERN involves event classification, or distinguishing potential signal events from those coming from background processes. Current machine learning techniques accomplish this using traditional hand-engineered features li...

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Bibliographic Details
Main Authors:	Andrews Michael, Paulini Manfred, Gleyzer Sergei, Poczos Barnabas
Format:	Article
Language:	English
Published:	EDP Sciences 2019-01-01
Series:	EPJ Web of Conferences
Online Access:	https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_06031.pdf

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