3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
Yuheng Ma, Zhi-Qin John Xu, Jiwei Zhang
Frequency perspective recently makes progress in understanding deep learning. It has been widely verified in both empirical and theoretical studies that deep neural networks (DNNs)…
math.NA2020
Implicit bias with Ritz-Galerkin method in understanding deep learning for solving PDEs
Jihong Wang, Zhi-Qin John Xu, Jiwei Zhang +1
This paper aims at studying the difference between Ritz-Galerkin (R-G) method and deep neural network (DNN) method in solving partial differential equations (PDEs) to better unders…
cs.LG2019
A priori generalization error for two-layer ReLU neural network through minimum norm solution
Zhi-Qin John Xu, Jiwei Zhang, Yaoyu Zhang +1
We focus on estimating \emph{a priori} generalization error of two-layer ReLU neural networks (NNs) trained by mean squared error, which only depends on initial parameters and the…