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Blending Pruning Criteria for Convolutional Neural Networks


Jul 11, 2021
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang


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Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons


Jul 07, 2021
Zuowei Shen, Haizhao Yang, Shijun Zhang


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Deep Network Approximation With Accuracy Independent of Number of Neurons


Jul 06, 2021
Zuowei Shen, Haizhao Yang, Shijun Zhang


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Solving PDEs on Unknown Manifolds with Machine Learning


Jun 12, 2021
Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang


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The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation


Mar 21, 2021
Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou


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Optimal Approximation Rate of ReLU Networks in terms of Width and Depth


Feb 28, 2021
Zuowei Shen, Haizhao Yang, Shijun Zhang


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Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning


Jan 14, 2021
Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang


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Reproducing Activation Function for Deep Learning


Jan 13, 2021
Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang


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Efficient Attention Network: Accelerate Attention by Searching Where to Plug


Nov 28, 2020
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang


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Neural Network Approximation: Three Hidden Layers Are Enough


Oct 25, 2020
Zuowei Shen, Haizhao Yang, Shijun Zhang

* arXiv admin note: substantial text overlap with arXiv:2006.12231 

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Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory


Jun 28, 2020
Tao Luo, Haizhao Yang


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Deep Network Approximation with Discrepancy Being Reciprocal of Width to Power of Depth


Jun 22, 2020
Zuowei Shen, Haizhao Yang, Shijun Zhang


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Deep Network Approximation for Smooth Functions


Jan 09, 2020
Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang


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Machine Learning for Prediction with Missing Dynamics


Oct 13, 2019
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang


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Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise


Aug 12, 2019
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang


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Error bounds for deep ReLU networks using the Kolmogorov--Arnold superposition theorem


Jun 27, 2019
Hadrien Montanelli, Haizhao Yang


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Deep Network Approximation Characterized by Number of Neurons


Jun 13, 2019
Zuowei Shen, Haizhao Yang, Shijun Zhang


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DIANet: Dense-and-Implicit Attention Network


May 25, 2019
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang


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CASS: Cross Adversarial Source Separation via Autoencoder


May 23, 2019
Yong Zheng Ong, Charles K. Chui, Haizhao Yang


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Generative Imaging and Image Processing via Generative Encoder


May 23, 2019
Lin Chen, Haizhao Yang


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SelectNet: Learning to Sample from the Wild for Imbalanced Data Training


May 23, 2019
Yunru Liu, Tingran Gao, Haizhao Yang


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Nonlinear Approximation via Compositions


Apr 10, 2019
Zuowei Shen, Haizhao Yang, Shijun Zhang


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Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization


Nov 19, 2018
Senwei Liang, Yuehaw Khoo, Haizhao Yang


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Non-Oscillatory Pattern Learning for Non-Stationary Signals


May 22, 2018
Jieren Xu, Yitong Li, David Dunson, Ingrid Daubechies, Haizhao Yang


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Recursive Diffeomorphism-Based Regression for Shape Functions


Jul 29, 2017
Jieren Xu, Haizhao Yang, Ingrid Daubechies


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