Paula Martínez Suárez

Distilling Normalizing Flows for Real-Time Anomaly Detection at the LHC

Normalizing flows are principled anomaly detectors, selecting anomalies using a probabilistic per-event likelihood. Extreme latency and resource constraints have prevented the deployment of flow likelihoods within the hardware triggers at the Large Hadron Collider. We bypass these limitations by distilling the likeliho...