stat.ML2026
Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach
Léa Billet, L{é}a Billet, Louise Travé-Massuyès +3
The paper introduces CANARI, an unsupervised method based on the Christoffel function to identify near-anomalies—samples close to the distribution boundary—to predict failures befo…
#anomaly detection#early failure prediction#christoffel function#unsupervised learning