30 citations · 31 across the 2 of their papers we have counts for
2 papers
physics.ins-det2020★ 1 cited
An updated hybrid deep learning algorithm for identifying and locating primary vertices
Simon Akar, Thomas J. Boettcher, Sarah Carl +5
We present an improved hybrid algorithm for vertexing, that combines deep learning with conventional methods. Even though the algorithm is a generic approach to vertex finding, we…
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…