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Point interpolation and distributional universality in flow-based generative models

arXiv:2611.04207v1 Announce Type: new Abstract: Motivated by the expressive power of neural ordinary differential equations in flow-based generative modeling, we study the approximation of probability measures by pushforwards generated by parameterized families of Lipschitz vector fields. For Wasse…

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  1. 2026-11-04 05:00 · arXiv stat.ML
    Point interpolation and distributional universality in flow-based generative models

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