CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection

Jaehyeop Hong, Youngbum Hur

Multivariate time series anomaly detection has become increasingly important in real-world applications, where labeled data are often scarce. Many existing approaches rely on unsup…