Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE

@article{Habiba2021ContinuousCN,
  title={Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE},
  author={Mansura Habiba and Barak A. Pearlmutter},
  journal={2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)},
  year={2021},
  pages={1-4}
}
  • M. Habiba, Barak A. Pearlmutter
  • Published 30 October 2021
  • Computer Science
  • 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
Recent work in deep learning focuses on solving physical systems in the Ordinary Differential Equation or Partial Differential Equation. This current work proposed a variant of Convolutional Neural Networks (CNNs) that can learn the hidden dynamics of a physical system using ordinary differential equation (ODEs) systems (ODEs) and Partial Differential Equation systems (PDEs). Instead of considering the physical system such as image, time -series as a system of multiple layers, this new… 

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