Jitao Xu

Active Diffusion-Based Inference for Ill-Posed Inverse Problems Under Incomplete Priors

Many scientific and engineering applications require estimating unknown parameters from experimentally observable data -- an inverse problem that is inherently challenging due to nonlinearity, noise, and ill-posedness. In this paper, we propose an active diffusion-based inverse problem solver. A diffusion model is trai...