Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models 事件

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models arXiv:2605.22795v2 Announce Type: replace-cross Abstract: We propose and analyze a conservative drifting method for one-step generative modeling. The method replaces the original displacement-based drifting velocity by a kernel density estimator (KDE)-gradient velocity, namely the difference of the kernel-smoothed data score and the kernel-smoothed model score. This velocity is a gradient field, addressing t