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#machine learning Preprint Oct 2026

Scaling Online Optimal Transport Minibatches for Flow Matching

This work develops a scalable online entropic OT approximation that enables substantially larger source-target couplings while preserving the benefits of OT, and proves strict reductions in full stochastic-gradient variance and integration error relative to independent pairing.

P. Chen, Sergey Levine · 0 citations

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