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Prin Phunyaphibarn

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#machine learning Preprint Sep 2026

RW-Flow: One-Step Generation on Compact Manifolds via Wasserstein Gradient Flows

Manifold-valued data, and consequently the distributions they induce, are prevalent across many domains, ranging from the locations of geospatial events, such as earthquakes, to biomolecular torsion angles that encode information about three-dimensional structure. While diffusion and flow-based generative models have b...

Ualibyek Nurgulan, Seungwoo Yoo, Prin Phunyaphibarn et al. · 0 citations

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