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When do explicit penalties improve flow matching?

Kunkel, Lea et al.
arXiv (All) · Papers
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machine-learningstatistics-theory
Flow matching can learn structure directly from data, raising the question of when additional constraints improve generation. We study penalties that encode such constraints, with physics-informed flow matching as a motivating example. Satisfying a constraint more closely need not make the generated
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