NFAD: Fixing anomaly detection using normalizing flows

Anomaly detection is a challenging task that frequently arises in practically all areas of industry and science, from fraud detection and data quality monitoring to finding rare cases of diseases and searching for new physics. Most of the conventional approaches to anomaly detection, such as one-cla...

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Veröffentlicht in:	arXiv.org 2021-11
Hauptverfasser:	Ryzhikov, Artem, Borisyak, Maxim, Ustyuzhanin, Andrey, Derkach, Denis
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Bayesian analysis Computer Science - Learning Machine learning Normalizing (statistics) Probabilistic inference Statistical inference Statistics - Machine Learning
Online-Zugang:	Volltext
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