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Christian Wald

2 accepted papers

2025

Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry

ICLR 2025poster

We deal with the task of sampling from an unnormalized Boltzmann density $\rho_D$ by learning a Boltzmann curve given by energies $f_t$ starting in a simple density $\rho_Z$. First, we examine conditions under which Fisher-Rao flows are absolutely continuous in the Wasserstein geometry. Second, we a…

Cited by 4SourcePDFScholar
2024

Generative Sliced MMD Flows with Riesz Kernels

ICLR 2024poster

Maximum mean discrepancy (MMD) flows suffer from high computational costs in large scale computations. In this paper, we show that MMD flows with Riesz kernels $K(x,y) = - \|x-y\|^r$, $r \in (0,2)$ have exceptional properties which allow their efficient computation. We prove that the MMD of Riesz ke…