Anomalies, Representations, and Self-Supervision

Barry M. Dillon, Luigi Favaro, Friedrich Feiden +2

We develop a self-supervised method for density-based anomaly detection using contrastive learning, and test it using event-level anomaly data from CMS ADC2021. The AnomalyCLR tech…