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cs.LG2024
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er +1
Generative modeling typically concerns transporting a single source distribution to a target distribution via simple probability flows. However, in fields like computer graphics an…
cs.LG2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers
Doron Haviv, Russell Zhang Kunes, Thomas Dougherty +4
Optimal transport (OT) and the related Wasserstein metric (W) are powerful and ubiquitous tools for comparing distributions. However, computing pairwise Wasserstein distances rapid…