1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.comp-ph2018
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…
physics.data-an2017★ 1 cited
Deep learning for inferring cause of data anomalies
V. Azzolini, M. Borisyak, G. Cerminara +10
Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different su…