Deep network approximation for smooth functions J Lu, Z Shen, H Yang, S Zhang SIAM Journal on Mathematical Analysis 53 (5), 5465–5506, 2020 | 233 | 2020 |
Deep network approximation characterized by number of neurons Z Shen, H Yang, S Zhang Communications in Computational Physics 28 (5), 1768-1811, 2020 | 183 | 2020 |
Optimal approximation rate of ReLU networks in terms of width and depth Z Shen, H Yang, S Zhang Journal de Mathématiques Pures et Appliquées 157, 101-135, 2022 | 92 | 2022 |
Neural network approximation: Three hidden layers are enough Z Shen, H Yang, S Zhang Neural Networks 141, 160-173, 2021 | 92 | 2021 |
Nonlinear approximation via compositions Z Shen, H Yang, S Zhang Neural Networks 119, 74-84, 2019 | 87 | 2019 |
Deep network with approximation error being reciprocal of width to power of square root of depth Z Shen, H Yang, S Zhang Neural Computation 33 (4), 1005-1036, 2021 | 57 | 2021 |
Deep network approximation: Achieving arbitrary accuracy with fixed number of neurons Z Shen, H Yang, S Zhang The Journal of Machine Learning Research 23 (276), 1-60, 2022 | 23 | 2022 |
Deep network approximation for smooth functions. arXiv e-prints J Lu, Z Shen, H Yang, S Zhang arXiv preprint arXiv:2001.03040, 2020 | 18 | 2020 |
Neural network architecture beyond width and depth S Zhang, Z Shen, H Yang Advances in Neural Information Processing Systems 35, 5669-5681, 2022 | 11 | 2022 |
Deep neural network approximation via function compositions S Zhang PhD thesis, National University of Singapore, 2020 | 10 | 2020 |
Deep network approximation: Beyond relu to diverse activation functions S Zhang, J Lu, H Zhao Journal of Machine Learning Research 25 (35), 1-39, 2024 | 4 | 2024 |
Deep network approximation in terms of intrinsic parameters Z Shen, H Yang, S Zhang International Conference on Machine Learning 162, 19909-19934, 2022 | 4 | 2022 |
On enhancing expressive power via compositions of single fixed-size ReLU network S Zhang, J Lu, H Zhao International Conference on Machine Learning, 41452-41487, 2023 | 3 | 2023 |
Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study S Zhang, H Zhao, Y Zhong, H Zhou arXiv preprint arXiv:2306.17301, 2023 | 1 | 2023 |