Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting
Two-stage Odd Residual Flows (TORF), a framework that decouples mean forecasting from uncertainty estimation, achieves state-of-the-art deterministic accuracy (NMAE) while providing strong density estimation performance (CRPS) on short and long-horizon forecasting.