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Learn one size to infer all: Exploiting translational symmetries in
  delay-dynamical and spatio-temporal systems using scalable neural networks

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks

5 November 2021
Mirko Goldmann
C. Mirasso
Ingo Fischer
Miguel C. Soriano
    AI4CE
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Papers citing "Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks"

2 / 2 papers shown
Title
Machine-learning hidden symmetries
Machine-learning hidden symmetries
Ziming Liu
Max Tegmark
40
52
0
20 Sep 2021
Model-free inference of unseen attractors: Reconstructing phase space
  features from a single noisy trajectory using reservoir computing
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing
André Röhm
D. Gauthier
Ingo Fischer
50
38
0
06 Aug 2021
1