ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.13166
  4. Cited By
A unified framework for Hamiltonian deep neural networks

A unified framework for Hamiltonian deep neural networks

27 April 2021
C. Galimberti
Liang Xu
Giancarlo Ferrari-Trecate
ArXivPDFHTML

Papers citing "A unified framework for Hamiltonian deep neural networks"

4 / 4 papers shown
Title
Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINN
AI4CE
27
13
0
03 Nov 2022
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomena
Elías Cueto
Francisco Chinesta
AI4CE
23
22
0
26 Jul 2022
Distributed neural network control with dependability guarantees: a
  compositional port-Hamiltonian approach
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach
Luca Furieri
C. Galimberti
M. Zakwan
Giancarlo Ferrari-Trecate
21
20
0
16 Dec 2021
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by
  Design
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design
C. Galimberti
Luca Furieri
Liang Xu
Giancarlo Ferrari-Trecate
14
31
0
27 May 2021
1