Preprint Open access
Graph-Spectral Flow Matching for Multivariate Time Series Anomaly Detection
Multivariate time series anomaly detection typically relies on evaluating discrepancies between observations and outputs produced by models trained on normal data. An alternative perspective is to characterize the distribution of normal data through the generative dynamics, i.e., the velocity field, of flow matching mo …