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Learnable & Interpretable Model Combination in Dynamical Systems Modeling
v1v2 (latest)

Learnable & Interpretable Model Combination in Dynamical Systems Modeling

12 June 2024
Tobias Thummerer
Lars Mikelsons
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Learnable & Interpretable Model Combination in Dynamical Systems Modeling"

4 / 4 papers shown
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsInternational Conference on Learning Representations (ICLR), 2024
Julius Aka
Johannes Brunnemann
Jörg Eiden
Arne Speerforck
Lars Mikelsons
618
5
0
14 Oct 2024
Hybrid Modeling Design Patterns
Hybrid Modeling Design PatternsJournal of Mathematics in Industry (JMI), 2023
Maja Rudolph
Stefan Kurz
Barbara Rakitsch
AI4CE
330
21
0
29 Dec 2023
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into
  real world applications
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications
Tobias Thummerer
Johannes Stoljar
Lars Mikelsons
AI4CE
242
15
0
08 Sep 2022
Latent ODEs for Irregularly-Sampled Time Series
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova
Ricky T. Q. Chen
David Duvenaud
BDLAI4TS
965
310
0
08 Jul 2019
1
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