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A new activation for neural networks and its approximation


Oct 19, 2022
Jianfei Li, Han Feng, Ding-Xuan Zhou


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Approximation analysis of CNNs from feature extraction view


Oct 14, 2022
Han Feng, Jianfei Li, Ding-Xuan Zhou


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Stability and Generalization for Markov Chain Stochastic Gradient Methods


Sep 16, 2022
Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou


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Differentially Private Stochastic Gradient Descent with Low-Noise


Sep 09, 2022
Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou


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Attention Enables Zero Approximation Error


Feb 24, 2022
Zhiying Fang, Yidong Ouyang, Ding-Xuan Zhou, Guang Cheng


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Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets


Dec 14, 2021
Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou

* 24 pages, 2 figures 

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Radial Basis Function Approximation with Distributively Stored Data on Spheres


Dec 05, 2021
Han Feng, Shao-Bo Lin, Ding-Xuan Zhou

* 19 pages 

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Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions


Jul 02, 2021
Tong Mao, Zhongjie Shi, Ding-Xuan Zhou


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Universal Consistency of Deep Convolutional Neural Networks


Jun 23, 2021
Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou

* 9pages, 4 figures 

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