most citedNeural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels

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stat.ML2023★ 1 cited

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel

Paul Hagemann, Johannes Hertrich, Fabian Altekrüger +3

We propose conditional flows of the maximum mean discrepancy (MMD) with the negative distance kernel for posterior sampling and conditional generative modeling. This MMD, which is…