Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection.

arXiv:2610.29063v1 Announce Type: cross Abstract: Time series anomalies take diverse forms, and individual detectors encode different anomaly scoring principles that rarely cover all anomaly types. Recent unsupervised time-series anomaly detectors provide comp