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N. Nüsken

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Preprint Aug 2026

A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models

This work formulate inference-time distributional control as targeting a tilted measure under a mean-field framework, and derive a weighted interacting particle scheme to target it in a principled manner, and derives a weighted interacting particle scheme to target it in a principled manner.

Samuel Howard, N. Nüsken · 0 citations
Preprint Sep 2026

The Fenchel Game of Underdamped Langevin Dynamics: Insights into Accelerated Convergence

For $(Q_t,P_t)$ governed by suitably damped underdamped Langevin dynamics, we quantify the convergence in KL divergence of the positional marginal to a $\sigma$-strongly log-concave target $\pi(dq) = \frac{1}{Z}e^{-V(q)}dq$ as \begin{align*} \operatorname{KL}(\operatorname{Law}(Q_t) \| \pi) \leq e^{-\sqrt{\sigma} t}\op...

Alexandra G. Borkowski, N. Nüsken · 1 citation

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