Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows
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We investigate how to improve new physics detection strategies exploiting variational autoencoders and normalizing flows for anomaly detection at the Large Hadron Collider. As a working example, we consider the DarkMachines challenge dataset. We show how diffe... ...
