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Symmetry-Aware Autoencoders: s-PCA and s-nlPCA

Symmetry-Aware Autoencoders: s-PCA and s-nlPCA

4 November 2021
Simon Kneer
T. Sayadi
D. Sipp
Peter J. Schmid
Georgios Rigas
ArXivPDFHTML

Papers citing "Symmetry-Aware Autoencoders: s-PCA and s-nlPCA"

4 / 4 papers shown
Title
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear
  Autoencoders With Wind-Tunnel Experimental Data
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data
Yaxin Mo
Tullio Traverso
Luca Magri
AI4CE
20
4
0
25 Apr 2024
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
Carlos E. Pérez De Jesús
Alec J. Linot
Michael D. Graham
AI4CE
35
1
0
15 Dec 2023
An autoencoder compression approach for accelerating large-scale inverse
  problems
An autoencoder compression approach for accelerating large-scale inverse problems
J. Wittmer
Jacob Badger
H. Sundar
T. Bui-Thanh
AI4CE
29
1
0
10 Apr 2023
Data-driven low-dimensional dynamic model of Kolmogorov flow
Data-driven low-dimensional dynamic model of Kolmogorov flow
Carlos E. Pérez De Jesús
M. Graham
57
23
0
29 Oct 2022
1