Yilun Kuang

14 papers A* 5Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization.
CoRR
Yilun Kuang, Yash Dagade, Deep Chakraborty, Erik G. Learned-Miller, Randall Balestriero, Tim G. J. Rudner, Yann LeCun
2026 J jnl
Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations.
CoRR
Yilun Kuang, Yash Dagade, Tim G. J. Rudner, Randall Balestriero, Yann LeCun
2025 A* conf
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences.
ICLR
Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2025 A* conf
Customizing the Inductive Biases of Softmax Attention using Structured Matrices.
ICML
Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson
2025 J jnl
Customizing the Inductive Biases of Softmax Attention using Structured Matrices.
CoRR
Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson
2024 J jnl
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences.
CoRR
Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2024 — conf
Efficient and Secure Skyline Query Over Horizontal Data Federation.
DASFAA (4)
Yilun Kuang, An Liu, Jianfeng Qu, Junhua Fang, Xiaofang Zhang, Lei Zhao
2024 A* conf
Non-Vacuous Generalization Bounds for Large Language Models.
ICML
Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson
2024 A* conf
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models.
NeurIPS
Sanae Lotfi, Yilun Kuang, Marc Finzi, Brandon Amos, Micah Goldblum, Andrew Gordon Wilson
2024 J jnl
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models.
CoRR
Sanae Lotfi, Yilun Kuang, Brandon Amos, Micah Goldblum, Marc Finzi, Andrew Gordon Wilson
2023 A* conf
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.
NeurIPS
Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
2023 J jnl
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.
CoRR
Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
2023 J jnl
Non-Vacuous Generalization Bounds for Large Language Models.
CoRR
Sanae Lotfi, Marc Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson
2023 — conf
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.
UniReps
Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa, Miah N. Pitcher, Marla Feller, SueYeon Chung