Tong Mao

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20242026

most citedExpressivity and Approximation Properties of Deep Neural Networks with ReLU

^{k}

Activation

3 citations · 3 across the 11 of their papers we have counts for

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stat.ML2024

Approximation Rates for Shallow ReLU $^{k}$ Neural Networks on Sobolev Spaces via the Radon Transform

Tong Mao, Jonathan W. Siegel, Jinchao Xu

Let $Ω \subset R^{d}$ be a bounded domain. We consider the problem of how efficiently shallow neural networks with the ReLU $^{k}$ activation function can approximate functions…

cs.LG2024★ 3 cited

Expressivity and Approximation Properties of Deep Neural Networks with ReLU $^{k}$ Activation

Juncai He, Tong Mao, Jinchao Xu

In this paper, we investigate the expressivity and approximation properties of deep neural networks employing the ReLU $^{k}$ activation function for $k \geq 2$ . Although deep ReLU ne…

Approximation Rates for Shallow ReLUk Neural Networks on Sobolev Spaces via the Radon Transform

Expressivity and Approximation Properties of Deep Neural Networks with ReLUk Activation

Approximation Rates for Shallow ReLU $^{k}$ Neural Networks on Sobolev Spaces via the Radon Transform

Expressivity and Approximation Properties of Deep Neural Networks with ReLU $^{k}$ Activation