When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds
Many scientific datasets, such as molecular conformational ensembles or single-cell tissue measurements, are naturally modeled as meta-distributions: distributions over probability measures on non-Euclidean domains. Existing generative methods largely assume Euclidean geometry and fail to capture this structure. We int...
D. Haviv, E. De Brouwer, Rishabh Anand et al.
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