Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection

1 code implementation • 18 Feb 2020 • Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li

Unsupervised anomaly detection aims to identify anomalous samples from highly complex and unstructured data, which is pervasive in both fundamental research and industrial applications.

Representation Learning Unsupervised Anomaly Detection