Finite-particles rates for drifting models

A Wasserstein-gradient-flow perspective suggests a conservative alternative for one-step generative models. This talk replaces a displacement velocity with the difference of smoothed data and model scores, derives finite-particle bounds through a joint-entropy identity, and compares the resulting guarantees with those for a non-conservative Laplace-kernel method.