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

5 November 2021

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

4 / 4 papers shown

Title
Adaptive control of recurrent neural networks using conceptors Guillaume Pourcel Mirko Goldmann Ingo Fischer Miguel C. Soriano 21 0 0 12 May 2024
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction J. D. Hart 22 6 0 30 Dec 2023
Machine-learning hidden symmetries Ziming Liu Max Tegmark 48 52 0 20 Sep 2021
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing André Röhm D. Gauthier Ingo Fischer 52 38 0 06 Aug 2021