arxiv
PublishedOctober 23, 2026 at 4:00 AM
Improved Training of Strong Stochastic Flow Maps
Publisher summary· verbatim
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 map remains difficult. The primary obstacl
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Originally published on arxiv ↗