AI RESEARCH
Sinkhorn-Drifting Generative Models
arXiv CS.LG
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ArXi:2603.12366v1 Announce Type: new We establish a theoretical link between the recently proposed "drifting" generative dynamics and gradient flows induced by the Sinkhorn divergence. In a particle discretization, the drift field admits a cross-minus-self decomposition: an attractive term toward the target distribution and a repulsive/self-correction term toward the current model, both expressed via one-sided normalized Gibbs kernels.