Stephen Y. Zhang

According to our database, Stephen Y. Zhang authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Simulation-free Structure Learning for Stochastic Dynamics.

Noah El Rimawi-Fine, Adam Stecklov, Lucas Nelson, Mathieu Blanchette, Alexander Tong, Stephen Y. Zhang, Lazar Atanackovic

CoRR, October, 2025

Flow Matching with Semidiscrete Couplings.

Alireza Mousavi Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi

CoRR, September, 2025

Topological optimal transport for geometric cycle matching.

Stephen Y. Zhang, Michael P. H. Stumpf, Tom Needham, Agnese Barbensi

J. Appl. Comput. Topol., June, 2025

On Fitting Flow Models with Large Sinkhorn Couplings.

Michal Klein, Alireza Mousavi Hosseini, Stephen Y. Zhang, Marco Cuturi

CoRR, June, 2025

Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free.

Stephen Y. Zhang, Michael P. H. Stumpf

CoRR, May, 2025

2024

Joint trajectory and network inference via reference fitting.

Stephen Y. Zhang

Proceedings of the Machine Learning in Computational Biology, 2024

2021

Non-negative matrix and tensor factorisations with a smoothed Wasserstein loss.

Stephen Y. Zhang

CoRR, 2021

A unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein loss.

Stephen Y. Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021