Li-Ping Liu

Deterministic forecasting embedded within generative models is unstable; DV-Flow decouples it as a parallel velocity, unlocking stable end-to-end training and superior probabilistic forecasts.

Unifying velocity and endpoint predictions reveals a method that significantly boosts generative model performance without major architectural changes.