Yilun Kuang

According to our database, Yilun Kuang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization.

Yilun Kuang, Yash Dagade, Deep Chakraborty, Erik G. Learned-Miller, Randall Balestriero, Tim G. J. Rudner, Yann LeCun

CoRR, February, 2026

Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations.

Yilun Kuang, Yash Dagade, Tim G. J. Rudner, Randall Balestriero, Yann LeCun

CoRR, February, 2026

2025

Customizing the Inductive Biases of Softmax Attention using Structured Matrices.

Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences.

Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models.

Sanae Lotfi, Yilun Kuang, Marc Finzi, Brandon Amos, Micah Goldblum, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Non-Vacuous Generalization Bounds for Large Language Models.

Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson

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

Efficient and Secure Skyline Query Over Horizontal Data Federation.

Yilun Kuang, An Liu, Jianfeng Qu, Junhua Fang, Xiaofang Zhang, Lei Zhao

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.

Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa, Miah N. Pitcher, Marla Feller, SueYeon Chung

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.

Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023