65 citations · 93 across the 4 of their papers we have counts for
4 papers
The Tracking Machine Learning challenge : Throughput phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +18
This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first "Accuracy" phase, the participants…
Anomaly Detection With Conditional Variational Autoencoders
Adrian Alan Pol, Victor Berger, Gianluca Cerminara +2
Exploiting the rapid advances in probabilistic inference, in particular variational Bayes and variational autoencoders (VAEs), for anomaly detection (AD) tasks remains an open rese…
The Tracking Machine Learning challenge : Accuracy phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +24
This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the tr…
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider
Adrian Alan Pol, Gianluca Cerminara, Cecile Germain +2
Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment. This paper focu…