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Universal Approximation Property of Hamiltonian Deep Neural Networks

Universal Approximation Property of Hamiltonian Deep Neural Networks

21 March 2023
M. Zakwan
M. d’Angelo
Giancarlo Ferrari-Trecate
ArXivPDFHTML

Papers citing "Universal Approximation Property of Hamiltonian Deep Neural Networks"

6 / 6 papers shown
Title
Universal approximation property of ODENet and ResNet with a single
  activation function
Universal approximation property of ODENet and ResNet with a single activation function
M. Kimura
Kazunori Matsui
Yosuke Mizuno
16
0
0
22 Oct 2024
Symplectic Neural Networks Based on Dynamical Systems
Symplectic Neural Networks Based on Dynamical Systems
Benjamin K Tapley
26
1
0
19 Aug 2024
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Luca Ballotta
Rajat Talak
AI4CE
16
1
0
14 Feb 2024
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
M. Zakwan
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
Giancarlo Ferrari-Trecate
PINN
AI4CE
21
8
0
11 Nov 2022
Dynamical systems' based neural networks
Dynamical systems' based neural networks
E. Celledoni
Davide Murari
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
OOD
30
10
0
05 Oct 2022
Deep physical neural networks enabled by a backpropagation algorithm for
  arbitrary physical systems
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright
Tatsuhiro Onodera
Martin M. Stein
Tianyu Wang
Darren T. Schachter
Zoey Hu
Peter L. McMahon
PINN
AI4CE
35
465
0
27 Apr 2021
1