Trombetta, Robin

OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection

2025 · arXiv (Cornell University)

Unsupervised anomaly detection (UAD) aims to detect anomalies without labeled data, a necessity in many machine learning applications where anomalous samples are rare or not available. Most state-of-the-art methods fall into two categories: reconstruction-based approaches, …