arxiv
PublishedJuly 24, 2026 at 4:00 AM
▲bullish
CLOE: Christoffel Loss Autoencoder for Anomaly Detection
Publisher summary· verbatim
arXiv:2607.20530v1 Announce Type: cross 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 hyperpar
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Originally published on arxiv ↗