Stephen Zhang

13 papers A* 3Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attention Sinks and Outlier Features: A 'Catch, Tag, and Release' Mechanism for Embeddings.
CoRR
Stephen Zhang, Mustafa Khan, Vardan Papyan
2025 J jnl
Inferring stochastic dynamics with growth from cross-sectional data.
CoRR
Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu, Victor Chardès
2025 A* conf
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition.
ICLR
Stephen Zhang, Vardan Papyan
2024 J jnl
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots.
CoRR
Vincent Guan, Joseph Janssen, Hossein Rahmani, Andrew Warren, Stephen Zhang, Elina Robeva, Geoffrey Schiebinger
2024 J jnl
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition.
CoRR
Stephen Zhang, Vardan Papyan
2024 A* conf
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities.
ICML
Stephen Zhang, Vardan Papyan
2024 J jnl
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities.
CoRR
Stephen Zhang, Vardan Papyan
2023 J jnl
Manifold Learning with Sparse Regularised Optimal Transport.
CoRR
Stephen Zhang, Gilles Mordant, Tetsuya Matsumoto, Geoffrey Schiebinger
2022 J jnl
Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport.
CoRR
Tetsuya Matsumoto, Stephen Zhang, Geoffrey Schiebinger
2022 A* conf
Trajectory Inference via Mean-field Langevin in Path Space.
NeurIPS
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
2022 J jnl
Trajectory Inference via Mean-field Langevin in Path Space.
CoRR
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
2021 J jnl
Optimal transport analysis reveals trajectories in steady-state systems.
PLoS Comput. Biol.
Stephen Zhang, Anton Afanassiev, Laura Greenstreet, Tetsuya Matsumoto, Geoffrey Schiebinger
2021 J jnl
Towards a mathematical theory of trajectory inference.
CoRR
Hugo Lavenant, Stephen Zhang, Young-Heon Kim, Geoffrey Schiebinger