Search Results for author:
Found 2 papers, 1 papers with code
Anomaly Detection With Conditional Variational Autoencoders
Exploiting the rapid advances in probabilistic inference, in particular variational Bayes and variational autoencoders (VAEs), for anomaly detection (AD) tasks remains an open research question.
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
