Articles with public access mandates - Minshuo ChenLearn more
Available somewhere: 10
Efficient approximation of deep relu networks for functions on low dimensional manifolds
M Chen, H Jiang, W Liao, T Zhao
Advances in neural information processing systems 32, 2019
Mandates: US National Science Foundation
Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery
M Chen, H Jiang, W Liao, T Zhao
Information and Inference: A Journal of the IMA 11 (4), 1203-1253, 2022
Mandates: US National Science Foundation
Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data
M Chen, K Huang, T Zhao, M Wang
International Conference on Machine Learning, 4672-4712, 2023
Mandates: US National Science Foundation, US Department of Defense
Towards understanding hierarchical learning: Benefits of neural representations
M Chen, Y Bai, JD Lee, T Zhao, H Wang, C Xiong, R Socher
Advances in Neural Information Processing Systems 33, 22134-22145, 2020
Mandates: US National Science Foundation, US Department of Defense
Deep nonparametric estimation of operators between infinite dimensional spaces
H Liu, H Yang, M Chen, T Zhao, W Liao
Journal of Machine Learning Research 25 (24), 1-67, 2024
Mandates: Research Grants Council, Hong Kong
On computation and generalization of generative adversarial networks under spectrum control
H Jiang, Z Chen, M Chen, F Liu, D Wang, T Zhao
International Conference on Learning Representations, 2019
Mandates: US National Science Foundation
On scalable and efficient computation of large scale optimal transport
Y Xie, M Chen, H Jiang, T Zhao, H Zha
International Conference on Machine Learning, 6882-6892, 2019
Mandates: US National Science Foundation
Pessimism meets invariance: Provably efficient offline mean-field multi-agent RL
M Chen, Y Li, E Wang, Z Yang, Z Wang, T Zhao
Advances in Neural Information Processing Systems 34, 17913-17926, 2021
Mandates: US National Science Foundation
Benefits of overparameterized convolutional residual networks: Function approximation under smoothness constraint
H Liu, M Chen, S Er, W Liao, T Zhang, T Zhao
International Conference on Machine Learning, 13669-13703, 2022
Mandates: US National Science Foundation
A manifold two-sample test study: integral probability metric with neural networks
J Wang, M Chen, T Zhao, W Liao, Y Xie
Information and Inference: A Journal of the IMA 12 (3), 1867-1897, 2023
Mandates: US National Science Foundation
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