AI RESEARCH
Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
arXiv CS.LG
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ArXi:2605.08424v1 Announce Type: new Flow matching has recently emerged as a flexible and efficient framework for generative modelling by learning deterministic transport dynamics between probability measures. In this work, we extend flow matching to the space of probability measures over probability measures,