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Xiangming Meng

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Preprint Aug 2026

Posterior Information Dynamics of Diffusion Models for Linear Inverse Problems

Diffusion models are widely used as priors for linear inverse problems, yet endpoint quality does not reveal when measurement information enters reverse denoising or how it is allocated across signal directions. We study this process through the smoothed likelihood force, the difference between exact posterior and prio...

Xiangming Meng · 1 citation

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