Improving reduced-order models through nonlinear decoding of projection-dependent outputs-Reference-Cited by-同舟云学术

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Improving reduced-order models through nonlinear decoding of projection-dependent outputs

Published:2023-11 Issue:11 Volume:4 Page:100859
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Zdybał Kamila,Parente Alessandro,Sutherland James C.

Funder

European Research Council

National Science Foundation

Fonds De La Recherche Scientifique - FNRS

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

General Decision Sciences

Reference77 articles.

1. Data visualization in the neurosciences: Overcoming the curse of dimensionality;Allen;Neuron,2012

2. Self-portraits of the brain: Cognitive science, data visualization, and communicating brain structure and function;Goldstone;Trends Cognit. Sci.,2015

3. Visualizing structure and transitions in high-dimensional biological data;Moon;Nat. Biotechnol.,2019

4. Latent representation learning in biology and translational medicine;Kopf;Patterns,2021

5. Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows;Eivazi;Expert Syst. Appl.,2022

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