#

wasserstein-gradient-flows

Here are 2 public repositories matching this topic...

Large-Scale-Wasserstein-Gradient-Flows

PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows

Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)

deep-learning pytorch optimal-transport nonlinear-filtering fokker-planck-equation bayesian-logistic-regression wasserstein-gradient-flows

Updated May 8, 2022
Jupyter Notebook

ViktorAJStein / Regularized_f_Divergence_Particle_Flows

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

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

Updated Jan 10, 2025
Python

Improve this page

Add a description, image, and links to the wasserstein-gradient-flows topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the wasserstein-gradient-flows topic, visit your repo's landing page and select "manage topics."