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Machine-learning invariant foliations in forced systems for reduced order modelling

Machine-learning invariant foliations in forced systems for reduced order modelling

R. Szalai
ArXivPDFHTML

Papers citing "Machine-learning invariant foliations in forced systems for reduced order modelling"

3 / 3 papers shown
Title
Discovering Causal Relations and Equations from Data
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINN
AI4Cl
AI4CE
CML
77
76
0
21 May 2023
Data-driven reduced order models using invariant foliations, manifolds and autoencoders
Data-driven reduced order models using invariant foliations, manifolds and autoencoders
R. Szalai
AI4CE
30
10
0
24 Jun 2022
Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds
Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds
Mattia Cenedese
Joar Axås
Bastian Bäuerlein
Kerstin Avila
George Haller
45
127
0
13 Jan 2022

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