2 papers
cs.LG2026
PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
Yangyou Liu, Zezhi Shao, Xinyu Chen +3
Time series forecasting under non-stationarity faces a fundamental tension between capturing stable representations and adapting to distribution shifts. Existing methods implicitly…
cs.LG2026
REE-TTT: Highly Adaptive Radar Echo Extrapolation Based on Test-Time Training
Xin Di, Xinglin Piao, Fei Wang +2
Precipitation nowcasting is critically important for meteorological forecasting. Deep learning-based Radar Echo Extrapolation (REE) has become a predominant nowcasting approach, ye…