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Gaussian Flow Dynamics: Simulation-Free Neural SDE Learning Beyond One-Time Marginals

arXiv:2610.04390v1 Announce Type: new Abstract: Simulation-free training of latent Stochastic Differential Equations (SDEs) relies on a variational posterior process whose one-time marginals are tractable, typically Gaussian. Such marginals, however, do not determine the underlying dynamics: many p…

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  1. 2026-10-06 04:00 · arXiv stat.ML
    Gaussian Flow Dynamics: Simulation-Free Neural SDE Learning Beyond One-Time Marginals

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