Speaker
Ioan Dinu
(CERN)
Description
This talk presents a summary of our tested anomaly detection models. We are studying the performance of two approaches on the LHC Olympics datasets, one based on Adversarial Autoencoders and the other using a Normalizing Flows method (arxiv:2003.13913). Combining those methods with traditional “bump-hunting” algorithms (https://github.com/lovaslin/pyBumpHunter) , we attempt to uncover the mysteries of the LHCO Black boxes.
Primary author
Ioan Dinu
(CERN)
Co-authors
Julien Donini
(CERN)
Louis Vaslin
(Clermont)
