Stephen Zhang

According to our database, Stephen Zhang authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Manifold Learning with Sparse Regularised Optimal Transport.

Stephen Zhang, Gilles Mordant, Tetsuya Matsumoto, Geoffrey Schiebinger

CoRR, 2023

2022

Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport.

Tetsuya Matsumoto, Stephen Zhang, Geoffrey Schiebinger

CoRR, 2022

Trajectory Inference via Mean-field Langevin in Path Space.

Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimal transport analysis reveals trajectories in steady-state systems.

Stephen Zhang, Anton Afanassiev, Laura Greenstreet, Tetsuya Matsumoto, Geoffrey Schiebinger

PLoS Comput. Biol., 2021

Towards a mathematical theory of trajectory inference.

Hugo Lavenant, Stephen Zhang, Young-Heon Kim, Geoffrey Schiebinger

CoRR, 2021