| NeuralFMU: Presenting a workflow for integrating hybrid neuralODEs into real-world applications T Thummerer, J Stoljar, L Mikelsons Electronics 11 (19), 3202, 2022 | 11 | 2022 |
| NeuralFMU: towards structural integration of FMUs into neural networks T Thummerer, J Kircher, L Mikelsons arXiv preprint arXiv:2109.04351, 2021 | 10 | 2021 |
| Hybrid modeling of the human cardiovascular system using NeuralFMUs T Thummerer, J Tintenherr, L Mikelsons Journal of Physics: Conference Series 2090 (1), 012155, 2021 | 6 | 2021 |
| Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs T Thummerer, L Mikelsons arXiv preprint arXiv:2302.10892, 2023 | 3 | 2023 |
| Eigen-Informed Neural Ordinary Differential Equations: Dealing with Stability and Convergence Issues T Thummerer, L Mikelsons Available at SSRN 4819144, 0 | 1 | |
| Learnable & Interpretable Model Combination in Dynamic Systems Modeling T Thummerer, L Mikelsons arXiv preprint arXiv:2406.08093, 2024 | | 2024 |
| Paving the way for hybrid twins using neural functional mock-up units T Thummerer, A Kolesnikov, J Gundermann, D Ritz, L Mikelsons Modelica Conferences, 141-150, 2023 | | 2023 |
| A tetrahedron-shaped inverted pendulum with torque-actuation T Thummerer, L Mikelsons | | 2020 |
| Modeling and control of a tetrahedron-shaped inverted pendulum with torque-actuation T Thummerer, L Mikelsons IFAC-PapersOnLine 53 (2), 17548-17555, 2020 | | 2020 |
| EIGEN-INFORMED NEURALODES: DEALING WITH STABILITY T Thummerer, L Mikelsons | | |
