04:00
2026-08-17
arxiv.org
machine-learning
Contrastive Learning for Interpretable Anomaly Detection at Collider Experiments
Researchers introduced ORCA, a two-stage framework using supervised contrastive learning and autoencoders for interpretable anomaly detection at collider experiments, achieving significant sensitivityβ¦