GenWGP trains a generative flow to transport mass along Wasserstein gradient paths by optimizing a geometric action loss that encodes the full trajectory and equilibrium, matching reference solutions on Fokker-Planck and aggregation problems with roughly a dozen points.
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Generative Path-Finding Method for Wasserstein Gradient Flow
GenWGP trains a generative flow to transport mass along Wasserstein gradient paths by optimizing a geometric action loss that encodes the full trajectory and equilibrium, matching reference solutions on Fokker-Planck and aggregation problems with roughly a dozen points.