738 citations · 1.8k across the 43 of their papers we have counts for
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Variational Dropout Sparsification for Particle Identification speed-up
Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn
Accurate particle identification (PID) is one of the most important aspects of the LHCb experiment. Modern machine learning techniques such as neural networks (NNs) are efficiently…
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…
Towards automation of data quality system for CERN CMS experiment
Maxim Borisyak, Fedor Ratnikov, Denis Derkach +1
Daily operation of a large-scale experiment is a challenging task, particularly from perspectives of routine monitoring of quality for data being taken. We describe an approach tha…