402 citations · 584 across the 2 of their papers we have counts for
2 papers
hep-ex2018★ 402 cited
Deep Learning and its Application to LHC Physics
Dan Guest, Kyle Cranmer, Daniel Whiteson
Machine learning has played an important role in the analysis of high-energy physics data for decades. The emergence of deep learning in 2012 allowed for machine learning tools whi…
hep-ex2016★ 182 cited
Jet Flavor Classification in High-Energy Physics with Deep Neural Networks
Daniel Guest, Julian Collado, Pierre Baldi +3
Classification of jets as originating from light-flavor or heavy-flavor quarks is an important task for inferring the nature of particles produced in high-energy collisions. The la…