45 citations · 122 across the 7 of their papers we have counts for
Showing 2018Show all
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physics.data-an2018★ 8 cited
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC
Michael Andrews, Manfred Paulini, Sergei Gleyzer +1
This paper describes the construction of novel end-to-end image-based classifiers that directly leverage low-level simulated detector data to discriminate signal and background pro…
physics.comp-ph2018★ 30 cited
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…