AI RESEARCH

Sinkhorn-Drifting Generative Models

arXiv CS.LG

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.