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NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into
  real world applications

NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications

8 September 2022
Tobias Thummerer
Johannes Stoljar
Lars Mikelsons
    AI4CE
ArXivPDFHTML

Papers citing "NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications"

5 / 5 papers shown
Title
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
Linus Langenkamp
Philip Hannebohm
Bernhard Bachmann
36
0
0
06 May 2025
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
Tobias Thummerer
Lars Mikelsons
AI4CE
46
1
0
12 Jun 2024
Eigen-informed NeuralODEs: Dealing with stability and convergence issues
  of NeuralODEs
Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs
Tobias Thummerer
Lars Mikelsons
19
3
0
07 Feb 2023
Multiple shooting for training neural differential equations on time
  series
Multiple shooting for training neural differential equations on time series
Evren Mert Turan
J. Jäschke
AI4TS
37
23
0
14 Sep 2021
Hybrid modeling of the human cardiovascular system using NeuralFMUs
Hybrid modeling of the human cardiovascular system using NeuralFMUs
Tobias Thummerer
Johannes Tintenherr
Lars Mikelsons
AI4CE
21
5
0
10 Sep 2021
1