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Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.

Home Page: https://arxiv.org/abs/2402.04613

Python 100.00%
f-divergence gradient-flow mmd particle-flow regularization reproducing-kernel-hilbert-space rkhs sampling sampling-methods wasserstein-gradient-flows

regularized_f_divergence_particle_flows's Introduction

Hi there ๐Ÿ‘‹

I am a second-year PhD candidate in Applied Mathematics at TU Berlin under the supervision of Prof. Gabriele Steidl.

My interests lie in optimal transport, primarily in Wasserstein gradient flows, and in kernel methods. I am currenly learning more about metric gradient flows for other geometries, e.g., SVGD and Fisher-Rao.

Here you will find the code for the following projects.

Contact

stein[at]math[dot]tu-berlin[dot]de

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