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Port-Hamiltonian Approach to Neural Network Training

Port-Hamiltonian Approach to Neural Network Training

6 September 2019
Stefano Massaroli
Michael Poli
Federico Califano
Angela Faragasso
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
ArXivPDFHTML

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

4 / 4 papers shown
Title
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation
Weizheng Wang
Chao Yu
Yu Wang
Byung-Cheol Min
130
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 dynamics
Julian Burghoff
Marc Heinrich Monells
Hanno Gottschalk
14
0
0
14 Apr 2023
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomena
Elías Cueto
Francisco Chinesta
AI4CE
23
22
0
26 Jul 2022
Linearly Constrained Neural Networks
Linearly Constrained Neural Networks
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
10
33
0
05 Feb 2020
1