38 citations · 87 across the 11 of their papers we have counts for
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stat.ML2026
A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models
Samuel Howard, Nikolas Nüsken
Diffusion models are increasingly used as controllable samplers, whose generations can be steered at inference time according to a chosen reward function. While such rewards are ty…
stat.ML2019★ 38 cited
On the geometry of Stein variational gradient descent
A. Duncan, N. Nuesken, L. Szpruch
Bayesian inference problems require sampling or approximating high-dimensional probability distributions. The focus of this paper is on the recently introduced Stein variational gr…