TSB-AD-M

VACE method improves time series anomaly detection with geometric representation

Researchers have introduced VACE, a novel self-supervised method for detecting anomalies in multivariate time series data. VACE, which stands for Velocity-Aligned Channel Embeddings, focuses on learning a geometrically …