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Deep Network Approximation in Terms of Intrinsic Parameters
International Conference on Machine Learning (ICML), 2021
15 November 2021
Zuowei Shen
Haizhao Yang
Shijun Zhang
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Papers citing
"Deep Network Approximation in Terms of Intrinsic Parameters"
7 / 7 papers shown
A Near Complete Nonasymptotic Generalization Theory For Multilayer Neural Networks: Beyond the Bias-Variance Tradeoff
Hao Yu
Xiangyang Ji
AI4CE
220
0
0
03 Mar 2025
Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential
Shijun Zhang
Hongkai Zhao
Yimin Zhong
Haomin Zhou
320
1
0
26 Feb 2025
Structured and Balanced Multi-Component and Multi-Layer Neural Networks
Shijun Zhang
Hongkai Zhao
Yimin Zhong
Haomin Zhou
375
4
0
30 Jun 2024
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
International Conference on Machine Learning (ICML), 2023
Shijun Zhang
Jianfeng Lu
Hongkai Zhao
CoGe
220
8
0
29 Jan 2023
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions
Ido Ben-Shaul
Tomer Galanti
S. Dekel
257
3
0
11 Jan 2023
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks
Ilja Kuzborskij
Csaba Szepesvári
277
5
0
28 Dec 2022
Neural Network Architecture Beyond Width and Depth
Neural Information Processing Systems (NeurIPS), 2022
Zuowei Shen
Haizhao Yang
Shijun Zhang
3DV
MDE
490
19
0
19 May 2022
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