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Your GFlowNet Secretly Learns an Optimal Transport Plan

Ian Maksimov, Nikita Morozov, Denis Belomestny, Sergey Samsonov
Jun 5, 2026 at 04:00
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arXiv:2606.06272v1 Announce Type: cross Abstract: Generative Flow Networks (GFlowNets) are a framework for sampling structured objects via stochastic trajectories in a directed graph. In this work, we establish a theoretical connection between non-acyclic GFlowNets and optimal transport (OT). We show that fixing the initial flow distribution in a...

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