PhD student, Johns Hopkins University
1 paper at NeurIPS 2025
This paper introduces Proximal Diffusion Models (ProxDM), derived from backward discretization of an SDE and based on learned proximal operators, achieving provable faster sampling complexity and empirically much faster convergence.
