arXiv cs.LG
· Papers
CLOE: Christoffel Loss Autoencoder for Anomaly Detection
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 with high-dimensional data and typically require careful tuning of multiple hyperparameters. Among existin