Preprint Open access
Seq-Flow: Efficient Probabilistic Forecasting with Self-Rollout Error Control
Many scientific forecasting tasks require updating a distribution over future trajectories as new observations arrive. Conventional diffusion and flow models generate each forecast from Gaussian noise, often at the cost of many sampling steps. Warm-start methods reuse earlier predictions to reduce this cost, but their …