Quantile-Guided Diffusion for Probabilistic Time-Series Forecasting

Quantile forecasts summarize uncertainty at each future time step, while diffusion forecasters represent it through sampled future trajectories. We study how predicted quantiles can serve as distributional controls for diffusion forecasting.