Researcher, NVIDIA
2 papers at NeurIPS 2025
We present a general framework to solve inverse PDE problems through function space diffusion models in a plug-and-play way.
We develop trust region methods for stochastic optimal control to improve sampling from unnormalized densities, transition path sampling, and diffusion model finetuning.