Stephen Zhang

According to our database, Stephen Zhang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots.

Vincent Guan, Joseph Janssen, Hossein Rahmani, Andrew Warren, Stephen Zhang, Elina Robeva, Geoffrey Schiebinger

CoRR, 2024

OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition.

Stephen Zhang, Vardan Papyan

CoRR, 2024

Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities.

Stephen Zhang, Vardan Papyan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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