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cs.LG2026
Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability
Matias G. Delgadino, Sebastien Motsch, Advait Parulekar +2
Diffusion-based posterior samplers draw from measurement- or reward-conditioned posteriors using pretrained diffusion priors. Though widely used for inverse problems, their output…
math.PR2026
Mass generation for the two dimensional O(N) Linear Sigma Model in the large N limit
Matías G. Delgadino, Scott A. Smith
This work studies the Linear Sigma Model on under a scaling dictated by the formal expansion. We show that in the large limit, correlations decay…