2026
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
ICLR 2026poster
Probabilistic forecasting of multivariate time series is challenging due to non-stationarity, inter-variable dependencies, and distribution shifts. While recent diffusion and flow matching models have shown promise, they often ignore informative priors such as conditional means and covariances. In t…