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Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 801–815
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Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 801–815
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Physics Informed Neural Networks (PINNs) For Approximating Nonlinear Dispersive PDEs
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 816–847
Journal Article
Physics Informed Neural Networks (PINNs) For Approximating Nonlinear Dispersive PDEs
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 816–847
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An Acceleration Strategy for Randomize-Then-Optimize Sampling via Deep Neural Networks
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 848–864
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An Acceleration Strategy for Randomize-Then-Optimize Sampling via Deep Neural Networks
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 848–864
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Convergence of the Weighted Nonlocal Laplacian on Random Point Cloud
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 865–879
Journal Article
Convergence of the Weighted Nonlocal Laplacian on Random Point Cloud
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 865–879
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Achieving Adversarial Robustness Requires an Active Teacher
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 880–896
Journal Article
Achieving Adversarial Robustness Requires an Active Teacher
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 880–896
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The Random Batch Method for $N$-Body Quantum Dynamics
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 897–922
Journal Article
The Random Batch Method for $N$-Body Quantum Dynamics
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 897–922