Code underlying: Topological Schrödinger Bridge Matching

DOI:10.4121/11bff6b3-7c48-4870-b6b1-12a5664864a4.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/11bff6b3-7c48-4870-b6b1-12a5664864a4

Datacite citation style

Yang, Maosheng (2025): Code underlying: Topological Schrödinger Bridge Matching. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/11bff6b3-7c48-4870-b6b1-12a5664864a4.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This implements the matching and generative learning models on graphs and simplicial complexes, including interpolating the single-cell dynamics, brain signals, ocean currents and generating seismic waves and traffic flows.

History

  • 2025-05-26 first online, published, posted

Publisher

4TU.ResearchData

Format

script/.py, script/.ipynb

Associated peer-reviewed publication

Topological Schrödinger Bridge Matching

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/84d9dcb3-ab8a-4bcf-96c7-d0606bd91538.git "topological_SB_matching"

Or download the latest commit as a ZIP.