2026
CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting
ICML 2026poster
Time series forecasting can be viewed as a generative problem that requires both semantic understanding over contextual conditions and stochastic modeling of continuous temporal dynamics. Existing approaches typically rely on either autoregressive large language models (LLMs) for semantic context mo…