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Hok-Shing Wong

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#machine learning Preprint Oct 2026

Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning

Flow-matching and diffusion models are increasingly used as priors for linear inverse problems, however, most methods are bespoke to one class of trajectory prior. Plug-and-play methods have been proposed, however these implicitly decorrelate the guided trajectory, resulting in broad priors that can struggle when data...

Teo Deveney, Lea Bogensperger, Hok-Shing Wong · 0 citations

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