Orateur
Dr
Shikma Bressler
(Weizmann Institute of Science)
Description
Anomaly detection is mostly considered in searches for either outlier events or accumulation of events disagreeing with a priorly known distribution. The emergence of advanced machine learning (ML) techniques opens many new opportunities of detecting anomalies also in collider experiments. I will review traditional as well as state of the art ML-based anomaly detection concepts and algorithms as well as scientific results obtained applying them to collider data.
