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20052026
most citedReLU Deep Neural Networks and Linear Finite Elements

155 citations · 987 across the 104 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

math.NA2018

Randomized Method of Subspace Corrections

Xiaozhe Hu, Jinchao Xu, Ludmil Zikatanov

In this paper, we consider the iterative method of subspace corrections with random ordering. We prove identities for the expected convergence rate, which can provide sharp estimat…

math.NA2018★ 1 cited

Simplex-averaged finite element methods for , and convection-diffusion problems

Shuonan Wu, Jinchao Xu

This paper is devoted to the construction and analysis of the finite element approximations for the convection-diffusion problems, where can be chosen as , $…

math.NA2018★ 155 cited

ReLU Deep Neural Networks and Linear Finite Elements

Juncai He, Lin Li, Jinchao Xu +1

In this paper, we investigate the relationship between deep neural networks (DNN) with rectified linear unit (ReLU) function as the activation function and continuous piecewise lin…

cs.LG2018★ 4 cited

Make Regularization Effective in Training Sparse CNN

Juncai He, Xiaodong Jia, Jinchao Xu +2

Compressed Sensing using regularization is among the most powerful and popular sparsification technique in many applications, but why has it not been used to obtain sparse…

math.NA2018★ 6 cited

Uniform Stability and Error Analysis for Some Discontinuous Galerkin Methods

Qingguo Hong, Jinchao Xu

In this paper, we provide a number of new estimates on the stability and convergence of both hybrid discontinuous Galerkin (HDG) and weak Galerkin (WG) methods. By using the standa…

math.NA2018

Generalized Gaffney inequality and discrete compactness for discrete differential forms

Juncai He, Kaibo Hu, Jinchao Xu

We prove generalized Gaffney inequalities and the discrete compactness for finite element differential forms on -regular domains, including general Lipschitz domains. In computa…