Improved Training of Strong Stochastic Flow Maps.

arXiv:2610.29605v1 Announce Type: cross Abstract: Stochastic flow maps promise few-step sampling of stochastic differential equations (SDEs) by learning to directly jump between times along the solution path, yet training these models to learn this solution ma