Deep conditional distribution learning via conditional Föllmer flow

Jinyuan Chang, Zhao Ding, Yuling Jiao +2

We introduce an ordinary differential equation (ODE) based deep generative method for learning conditional distributions, named Conditional Föllmer Flow. Starting from a standard G…