Universal Approximation of Visual Autoregressive Transformers

10 February 2025

Papers citing "Universal Approximation of Visual Autoregressive Transformers"

6 / 6 papers shown

Title
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency Jiangxuan Long Zhao Song Chiwun Yang AI4TS 401 0 0 18 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows Chengyue Gong Xiaoyu Li Yingyu Liang Jiangxuan Long Zhenmei Shi Zhao Song Yu Tian 93 3 0 12 Mar 2025
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches Yifang Chen Xuyang Guo Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 82 3 0 03 Mar 2025
On Computational Limits of FlowAR Models: Expressivity and Efficiency Chengyue Gong Yekun Ke Xiaoyu Li Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song 110 4 0 23 Feb 2025
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song Yufa Zhou 130 19 0 21 Feb 2025
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent Bo Chen Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 120 21 0 15 Oct 2024