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ViktorAJStein/README.md

Hi there 👋

I am a third-year PhD candidate in Applied Mathematics at TU Berlin under the supervision of Prof. Gabriele Steidl. In May 2026, I will join Massimo Fornasier's Applied Numerical Analysis group at TU Munich as a Postdoc.

My interests lie in optimal transport, primarily in Wasserstein gradient flows, and in kernel methods.

Here you will find the code for the following projects.

Contact

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

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  1. MMD_Wasserstein_gradient_flow_on_the_line MMD_Wasserstein_gradient_flow_on_the_line Public

    Implicit and explicit Euler schemes for Wasserstein gradient flow of the Maximum Mean Discrepancy (MMD) with respect to the negative distance kernel on the line.

    Python 3

  2. Regularized_f_Divergence_Particle_Flows Regularized_f_Divergence_Particle_Flows Public

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

    Python 1 1