Stephen Zhang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Manifold Learning

Top Venues

PLoS Comput. Biol.

Publications

Stephen Zhang, Vardan Papyan
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities. CoRR (2024)
Stephen Zhang, Gilles Mordant, Tetsuya Matsumoto, Geoffrey Schiebinger
Manifold Learning with Sparse Regularised Optimal Transport. CoRR (2023)
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
Trajectory Inference via Mean-field Langevin in Path Space. NeurIPS (2022)
Tetsuya Matsumoto, Stephen Zhang, Geoffrey Schiebinger
Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport. CoRR (2022)
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
Trajectory Inference via Mean-field Langevin in Path Space. CoRR (2022)
Hugo Lavenant, Stephen Zhang, Young-Heon Kim, Geoffrey Schiebinger
Towards a mathematical theory of trajectory inference. CoRR (2021)
Stephen Zhang, Anton Afanassiev, Laura Greenstreet, Tetsuya Matsumoto, Geoffrey Schiebinger
Optimal transport analysis reveals trajectories in steady-state systems. PLoS Comput. Biol. 17 (12) (2021)