Generative Modeling via Kernelized Stochastic Interpolants

Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar +2

We develop a kernel method for generative modeling within the stochastic interpolant framework, replacing neural network training with linear systems. The drift of the generative S…