Niklas Rindtorff
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2026
Strong Stochastic Flow Maps
The paper introduces Strong Stochastic Flow Maps (SSFMs), a novel framework that directly learns the strong solution map of additive-noise Stochastic Differential Equations (SDEs), enabling few-step sampling for diffusion models.
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