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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
ArXiv (abs)PDFHTML

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
81
2
0
10 Nov 2023
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
74
7
0
24 Oct 2020
Hierarchical Deep Learning of Multiscale Differential Equation
  Time-Steppers
Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers
Yuying Liu
N. Kutz
Steven L. Brunton
AI4TS
62
78
0
22 Aug 2020
1