Benchu Zhang

Unsupervised Anomaly Detection for Multivariate Time Series Using Diffusion Model

Unsupervised anomaly detection for multivariate time series (MTS) is a challenging task due to the difficulties of precisely learning the complex data patterns of MTS. The recent progress in sample generation achieved by diffusion models (DMs) motivates us to leverage the powerful learning ability o…