Prior-Consistent DAPS Improves Diffusion Sampling for Nonlinear Inverse Problems
PC-DAPS prunes candidates by prior consistency without ground truth to reduce prior-inconsistent samples on ambiguous nonlinear problems.
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Stories tagged #inverse-problems
Untrained CNN and coefficient-space regularization for joint reconstruction in photoacoustic tomography
An untrained CNN with coefficient regularization jointly reconstructs photoacoustic pressure and sound speed.
Direct Intermediate Initialization for Tilted Diffusion Samplers
Direct intermediate initialization improves tilted diffusion SMC samplers on Gaussian-mixture inverse problems.
PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
Researchers release PosteriorBench, a benchmark testing whether generative inverse solvers recover full reference posteriors across four physics-based inverse problems.