Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang...
TL;DR我们提出了模拟-free score and flow matching ([SF]$^2$M),这是一种无需模拟的目标函数,用于根据来自任意分布的未配对的源样本和目标样本推断随机动力学。
Abstract
We present simulation-free score and flow matching ([SF]$^2$M), a simulation-free objective for inferring stochastic dynamics given unpaired source and target samples drawn from arbitrary distributions. Our metho