2025
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
NeurIPS 2025poster
Spatio-temporal forecasting is essential for real-world applications such as traffic management and urban computing. Although recent methods have shown improved accuracy, they often fail to account for dynamic deviations between current inputs and historical patterns. These deviations contain critic…