Article, 2023

The reconstruction of flows from spatiotemporal data by autoencoders

CHAOS SOLITONS & FRACTALS, ISSN 0960-0779, Volume 176, 10.1016/j.chaos.2023.114115

Contributors

Fainstein, Facundo 0000-0002-3700-0106 [1] [2] Catoni, Josefina [1] [2] [3] Elemans, Coen P. H. [4] Mindlin, Gabriel B. (Corresponding author) [1] [2] [5]

Affiliations

  1. [1] UNL, CONICET, Res Inst Signals Syst & Computat Intelligence Sinc, FICH, Santa Fe, Argentina
    2. [NORA names: Argentina; America, South];
  2. [2] Univ Buenos Aires, CONICET, Inst Fis Interdisciplinaria & Aplicada INFINA, Ciudad Univ, RA-1428 Buenos Aires, Argentina
    3. [NORA names: Argentina; America, South];
  3. [3] UNL, CONICET, Res Inst Signals Syst & Computat Intelligence Sinc, FICH, Santa Fe, Argentina
    4. [NORA names: Argentina; America, South];
  4. [4] Univ Southern Denmark, Dept Biol, DK-5230 Odense M, Denmark
    5. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  5. [5] Univ Rey Juan Carlos, Dept Matemat Aplicada, Madrid, Spain
    6. [NORA names: Spain; Europe, EU; OECD]

Abstract

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Keywords

Autoencoders, Chaos, Data driven analysis, Dynamical systems, Spatiotemporal data

Data Provider: Clarivate

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