ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Anomaly detection in multivariate time series data is of paramount importance for large-scale systems. However, accurately detecting anomalies in such data poses significant challenges due to the need for precise data modeling capability. Existing forecasting and reconstruction-based methods stru…