Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. - Thomas E. Yerxa; Yilun Kuang; Eero P. Simoncelli; SueYeon Chung (NeurIPS, 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 (UniReps, 2023)

Efficient and Secure Skyline Query Over Horizontal Data Federation. - Yilun Kuang; An Liu 002; Jianfeng Qu; Junhua Fang; Xiaofang Zhang; Lei Zhao 001 (DASFAA (4), 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 (ICML, 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 (NeurIPS, 2024)

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 (ICLR, 2025)