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Coarse-Graining Optimal Transport for Rollout-Free Post-Training of Flow Matching

Lim, Soon Hoe et al.
arXiv (All) · Papers
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machine-learning
Flow matching depends critically on the coupling used to pair source and target samples. Optimal transport (OT) couplings can reduce velocity conflict and straighten trajectories; but, in practice, challenges remain: the source comes from a continuous distribution, only a finite number of target sam
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