2025
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
ICML 2025poster
Utilizing the complex inter-variable causal relationships within multivariate time-series provides a promising avenue toward more robust and reliable multivariate time-series anomaly detection (MTSAD) but remains an underexplored area of research. This paper proposes Causality-Aware contrastive lear…