LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection
Effectively modeling the complex and evolving dependencies among multiple variables is a key challenge in multivariate time series anomaly detection (MTSAD). Existing methods typically model channel dependencies in discrete time steps, either window-wise or point-wise. However, they face a granularity dilemma: window-w...