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Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source
Significant advances in utilizing deep learning for anomaly detection have been made in recent years.
Coincident Learning for Unsupervised Anomaly Detection
While complex systems often have a wealth of data, labeled anomalies are typically rare (or even nonexistent) and expensive to acquire.
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