CLOE: Christoffel Loss Autoencoder for anomaly detection
Read the original at arxiv.org→arXiv:2607.20530v1 Announce Type: new Abstract: Semi-supervised anomaly detection plays a key role in diverse fields such as process monitoring, healthcare, and finance. However, lightweight methods often struggle...
Original headline: "CLOE: Christoffel Loss Autoencoder for Anomaly Detection"
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- Jul 24, 04:00 UTC arXiv cs.LG lead source CLOE: Christoffel Loss Autoencoder for Anomaly Detection