2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Performance-Efficiency Tradeoffs in Transformers: An Approximation Theory Perspective
Ruoxi Yu, Haotian Jiang, Jingpu Cheng +3
Transformers have achieved remarkable successes across a wide range of applications, yet the theoretical foundation of their model efficiency remains underexplored. In this work, w…
cs.LG2023
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang, Zhong Li, Qianxiao Li
We prove an inverse approximation theorem for the approximation of nonlinear sequence-to-sequence relationships using recurrent neural networks (RNNs). This is a so-called Bernstei…
cs.LG2021★ 2 cited
Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang, Zhong Li, Qianxiao Li
We study the approximation properties of convolutional architectures applied to time series modelling, which can be formulated mathematically as a functional approximation problem.…