Author

Edward P. Chandler

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Preprint Sep 2026

FIRM: Flow-based Imaging via Regularized Minimization

Flow matching methods for imaging inverse problems typically incorporate measurements through network conditioning or guidance during sampling. Neither approach explicitly applies the forward operator within the learned conditional velocity field. We develop a principled measurement-conditional velocity parameterizatio...

Shirin Shoushtari, Edward P. Chandler, Xiao Shi et al. · 0 citations

Preprint Sep 2026

SNaP: One-Step Posterior Sampling for Noisy Inverse Problems

Diffusion and flow-matching models can produce high-quality posterior samples for inverse problems, but typically require tens to thousands of network evaluations per draw. MeanFlow enables one-step generation, yet applying it to inverse problems leaves no intermediate steps at which to enforce measurement consistency....

Shirin Shoushtari, Edward P. Chandler, Xiao Shi et al. · 0 citations