PGM framework links diffusion to proximal regularization for closed-form Moreau-score sampling in Bayesian inverse problems, learned only from prior samples.
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OsteoOpt++ applies Bayesian optimization to patient-specific digital twins to increase donor-mandible apposition by up to 29 percentage points in mandibular reconstruction planning.
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Proximal-Based Generative Modeling for Bayesian Inverse Problems
PGM framework links diffusion to proximal regularization for closed-form Moreau-score sampling in Bayesian inverse problems, learned only from prior samples.