Author

Léa Billet

2 papers indexed here

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Jul 2026

Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach

Experimental results show that CANARI outperforms the compared baselines that generally use a dual-threshold mechanism (one for anomalies and one for near-anomalies) and provides a proactive solution for anticipating anomalies before they occur, offering a promising approach for resilience, predictive maintenance, and...

Léa Billet, Louise Travé-Massuyès, E. Chanthery et al. · arXiv.org · 0 citations

Jul 2026

CLOE: Christoffel Loss Autoencoder for Anomaly Detection

CLOE, a new method that combines an autoencoder for dimensionality reduction with a Christoffel Function--based detector applied in the latent space, is introduced and a novel loss function that leverages the Christoffel Function to guide the autoencoder toward representations that better capture the support of the nor...

Léa Billet, Louise Travé-Massuyès, E. Chanthery et al. · arXiv.org · 2 citations