Liu, Jerry Weihong

9 publications

ICLR 2025 Adaptive Rank Allocation: Speeding up Modern Transformers with RaNA Adapters Roberto Garcia, Jerry Weihong Liu, Daniel Sorvisto, Sabri Eyuboglu

ICLR 2025 Restructuring Vector Quantization with the Rotation Trick Christopher Fifty, Ronald Guenther Junkins, Dennis Duan, Aniketh Iyengar, Jerry Weihong Liu, Ehsan Amid, Sebastian Thrun, Christopher Re

NeurIPS 2025 SD-KDE: Score-Debiased Kernel Density Estimation Elliot L Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry Weihong Liu

ICLRW 2025 Score-Debiased Kernel Density Estimation Elliot L Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry Weihong Liu

ICLR 2025 Towards Learning High-Precision Least Squares Algorithms with Sequence Models Jerry Weihong Liu, Jessica Grogan, Owen M Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher Re

NeurIPSW 2024 A Hessian View of Grokking in Mathematical Reasoning Zhenshuo Zhang, Jerry Weihong Liu, Christopher Re, Hongyang R. Zhang

ICMLW 2024 Can Transformers Solve Least Squares to High Precision? Jerry Weihong Liu, Jessica Grogan, Owen M Dugan, Simran Arora, Atri Rudra, Christopher Re

ICMLW 2024 Can Transformers Solve Least Squares to High Precision? Jerry Weihong Liu, Jessica Grogan, Owen M Dugan, Simran Arora, Atri Rudra, Christopher Re

NeurIPSW 2023 Does In-Context Operator Learning Generalize to Domain-Shifted Settings? Jerry Weihong Liu, N. Benjamin Erichson, Kush Bhatia, Michael W. Mahoney, Christopher Re