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Symplectic Autoencoders for Model Reduction of Hamiltonian Systems

Symplectic Autoencoders for Model Reduction of Hamiltonian Systems

15 December 2023
Benedikt Brantner
Michael Kraus
ArXivPDFHTML

Papers citing "Symplectic Autoencoders for Model Reduction of Hamiltonian Systems"

4 / 4 papers shown
Title
Data-driven identification of latent port-Hamiltonian systems
Data-driven identification of latent port-Hamiltonian systems
J. Rettberg
Jonas Kneifl
Julius Herb
Patrick Buchfink
Jörg Fehr
B. Haasdonk
PINN
26
2
0
15 Aug 2024
Volume-Preserving Transformers for Learning Time Series Data with
  Structure
Volume-Preserving Transformers for Learning Time Series Data with Structure
Benedikt Brantner
Guillaume de Romemont
Michael Kraus
Zeyuan Li
AI4TS
11
0
0
18 Dec 2023
Data-Driven Identification of Quadratic Representations for Nonlinear
  Hamiltonian Systems using Weakly Symplectic Liftings
Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftings
Süleyman Yıldız
P. Goyal
Thomas Bendokat
P. Benner
14
10
0
02 Aug 2023
Generalizing Adam to Manifolds for Efficiently Training Transformers
Generalizing Adam to Manifolds for Efficiently Training Transformers
B. Brantner
MedIm
19
3
0
26 May 2023
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