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Port-Hamiltonian Approach to Neural Network Training

Port-Hamiltonian Approach to Neural Network Training

IEEE Conference on Decision and Control (CDC), 2019
6 September 2019
Stefano Massaroli
Michael Poli
Federico Califano
Angela Faragasso
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
ArXiv (abs)PDFHTML

Papers citing "Port-Hamiltonian Approach to Neural Network Training"

8 / 8 papers shown
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social NavigationIEEE International Conference on Robotics and Automation (ICRA), 2024
Weizheng Wang
Chao Yu
Yu Wang
Byung-Cheol Min
878
2
0
20 Sep 2024
Who breaks early, looses: goal oriented training of deep neural networks
  based on port Hamiltonian dynamics
Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamicsInternational Conference on Artificial Neural Networks (ICANN), 2023
Julian Burghoff
Marc Heinrich Monells
Hanno Gottschalk
85
0
0
14 Apr 2023
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomenaArchives of Computational Methods in Engineering (ACME), 2022
Elías Cueto
Francisco Chinesta
AI4CE
336
29
0
26 Jul 2022
Can we learn gradients by Hamiltonian Neural Networks?
Can we learn gradients by Hamiltonian Neural Networks?
A. Timofeev
A. Afonin
Yehao Liu
88
0
0
31 Oct 2021
Optimal Energy Shaping via Neural Approximators
Optimal Energy Shaping via Neural ApproximatorsSIAM Journal on Applied Dynamical Systems (SIADS), 2021
Stefano Massaroli
Michael Poli
Federico Califano
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
117
17
0
14 Jan 2021
Structure preserving deep learning
Structure preserving deep learning
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
AI4CE
223
47
0
05 Jun 2020
Dissecting Neural ODEs
Dissecting Neural ODEsNeural Information Processing Systems (NeurIPS), 2020
Stefano Massaroli
Michael Poli
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
275
237
0
19 Feb 2020
Linearly Constrained Neural Networks
Linearly Constrained Neural Networks
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
505
38
0
05 Feb 2020
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