Paper proposes identifiable alignment of unpaired model representations
Neural Gromov–Monge Alignment uses pullback distances, needs no pairs or labels, and beats reported baselines.
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Neural Gromov–Monge Alignment uses pullback distances, needs no pairs or labels, and beats reported baselines.
PMosFM learns one-step physics-constrained generation by matching flows on a constraint manifold.
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