Ruizhi Huang

RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting

Multivariate time series forecasting is a fundamental yet challenging task due to non-stationary dynamics, evolving temporal structures, and limited generalization across scenarios. Recent patch-based methods improve long-range modeling by segmenting sequences into local units. Still, they typically rely on fixed or we...