Metric entropy limits on recurrent neural network learning of linear dynamical systems

BibTeX Reference

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@article{ACHA-2021,
    author = {Hutter, Clemens and Gül, Recep and Bölcskei, Helmut},
    title = {Metric entropy limits on recurrent neural network learning of linear dynamical systems},
    journal = {Applied and Computational Harmonic Analysis},
    volume = 59,
    pages = {198--223},
    month = jul,
    year = 2022,
    keywords = {Recurrent neural networks, linear dynamical systems, metric entropy, Hardy spaces, universal approximation, system identification},
    url = {http://www.nari.ee.ethz.ch/pubs/p/ACHA-2021}
}

LaTeX Reference

\bibitem{ACHA-2021} C. Hutter, R. Gül, and H. Bölcskei, ``Metric entropy limits on recurrent neural network learning of linear dynamical systems,'' \emph{Applied and Computational Harmonic Analysis}, Vol. 59, pp. 198-223, July 2022, (\emph{invited paper}).

HTML Reference

C. Hutter, R. Gül, and H. Bölcskei, "Metric entropy limits on recurrent neural network learning of linear dynamical systems," Applied and Computational Harmonic Analysis, Vol. 59, pp. 198-223, July 2022, (invited paper).