Finn H. O’Shea

Coincident learning for unsupervised anomaly detection of scientific instruments

2024 · Machine Learning Science and Technology

Abstract Anomaly detection is an important task for complex scientific experiments and other complex systems (e.g. industrial facilities, manufacturing), where failures in a sub-system can lead to lost data, poor performance, or even damage to …