2026
PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
ICML 2026poster
Time series forecasting under non-stationarity faces a fundamental tension between capturing stable representations and adapting to distribution shifts. Existing methods implicitly rely on static historical assumptions, leading to a critical failure mode we term Phase Amnesia, where models become bl…