| Error analysis of deep Ritz methods for elliptic equations Y Jiao, Y Lai, Y Lo, Y Wang, Y Yang Analysis and Applications 22 (01), 57-87, 2024 | 54 | 2024 |
| An error analysis of generative adversarial networks for learning distributions J Huang, Y Jiao, Z Li, S Liu, Y Wang, Y Yang Journal of machine learning research 23 (116), 1-43, 2022 | 47 | 2022 |
| On the capacity of deep generative networks for approximating distributions Y Yang, Z Li, Y Wang Neural networks 145, 144-154, 2022 | 36 | 2022 |
| Approximation bounds for norm constrained neural networks with applications to regression and GANs Y Jiao, Y Wang, Y Yang Applied and Computational Harmonic Analysis 65, 249-278, 2023 | 22 | 2023 |
| Optimal Rates of Approximation by Shallow ReLU Neural Networks and Applications to Nonparametric Regression Y Yang, DX Zhou Constructive Approximation, 1-32, 2024 | 20 | 2024 |
| Approximation in shift-invariant spaces with deep ReLU neural networks Y Yang, Z Li, Y Wang Neural Networks 153, 269-281, 2022 | 15 | 2022 |
| Non-asymptotic error bounds for bidirectional GANs S Liu, Y Yang, J Huang, Y Jiao, Y Wang Advances in Neural Information Processing Systems 34, 12328-12339, 2021 | 9 | 2021 |
| Nonparametric regression using over-parameterized shallow ReLU neural networks Y Yang, DX Zhou Journal of Machine Learning Research 25, 1-35, 2024 | 6 | 2024 |
| Convergence analysis of the deep galerkin method for weak solutions Y Jiao, Y Lai, Y Wang, H Yang, Y Yang From Classical Analysis to Analysis on Fractals: A Tribute to Robert …, 2023 | 6 | 2023 |
| On the rates of convergence for learning with convolutional neural networks Y Yang, H Feng, DX Zhou arXiv preprint arXiv:2403.16459, 2024 | 4 | 2024 |
| Universality and approximation bounds for echo state networks with random weights Z Li, Y Yang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
| Learning distributions by generative adversarial networks: approximation and generalization Y Yang arXiv preprint arXiv:2205.12601, 2022 | 2 | 2022 |
| On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks Y Yang arXiv preprint arXiv:2409.00901, 2024 | 1 | 2024 |
| Exponential approximation of band-limited signals from nonuniform sampling Y Yang, H Zhang arXiv preprint arXiv:2106.08647, 2021 | 1 | 2021 |
| Exponential Approximation of Band-limited Functions from Nonuniform Sampling by Regularization Methods Y Yang, H Zhang Constructive Approximation, 1-29, 2024 | | 2024 |
| The circular Bedrosian identity and multidimensional periodic analytic signals F Huang, R Lin, Y Yang Complex Variables and Elliptic Equations 62 (2), 199-213, 2017 | | 2017 |
| Supplementary Material for “Non-Asymptotic Error Bounds for Bidirectional GANs” S Liu, Y Yang, J Huang, Y Jiao, Y Wang | | |
