2 papers
cs.LG2026
A Comparative Study of Adaptation Strategies for Time Series Foundation Models in Anomaly Detection
Miseon Park, Kijung Yoon
Time series anomaly detection is essential for the reliable operation of complex systems, but most existing methods require extensive task-specific training. We explore whether tim…
cs.LG2023
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting
Juhyeon Kim, Hyungeun Lee, Seungwon Yu +4
Multivariate time series is prevalent in many scientific and industrial domains. Modeling multivariate signals is challenging due to their long-range temporal dependencies and intr…