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Robust Neural Networks inspired by Strong Stability Preserving
  Runge-Kutta methods

Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods

20 October 2020
Byungjoo Kim
Bryce Chudomelka
Jinyoung Park
Jaewoo Kang
Youngjoon Hong
Hyunwoo J. Kim
    AAML
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Papers citing "Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods"

3 / 3 papers shown
Title
Hierarchical deep learning-based adaptive time-stepping scheme for
  multiscale simulations
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
Asif Hamid
Danish Rafiq
S. A. Nahvi
M. A. Bazaz
AI4CE
44
1
0
10 Nov 2023
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
212
345
0
15 Dec 2021
Deep neural network for solving differential equations motivated by
  Legendre-Galerkin approximation
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation
Bryce Chudomelka
Youngjoon Hong
Hyunwoo J. Kim
Jinyoung Park
27
7
0
24 Oct 2020
1