anomaly detection 1christoffel function 1early failure prediction 1predictive maintenance 1unsupervised learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
cs.LG2026
CLOE: Christoffel Loss Autoencoder for Anomaly Detection
Léa Billet, Louise Travé-Massuyès, Elodie Chanthery +1
Semi-supervised anomaly detection plays a key role in diverse fields such as process monitoring, healthcare, and finance. However, lightweight methods often struggle with high-dime…