| Universal differential equations for scientific machine learning C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2020 | 634 | 2020 |
| Universal differential equations for scientific machine learning. arXiv C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2020 | 28 | 2020 |
| Universal differential equations for scientific machine learning. arXiv 2020 C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2001 | 20 | 2001 |
| Model Simplification For Dynamic Control of Series-Parallel Hybrid Robots - A Representative Study on the Effects of Neglected Dynamics FK Shivesh Kumar, Julius Martensen, Andreas Mueller IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), 2019 | 9 | 2019 |
| Selection of decoupling control methods suited for automated design for uncertain TITO processes M Noeding, J Martensen, N Lemke, W Tegethoff, J Koehler 2018 IEEE 14th International Conference on Control and Automation (ICCA …, 2018 | 9 | 2018 |
| Universal differential equations for scientific machine learning. arXiv preprint 2020 C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2001 | 7 | 2001 |
| Universal differential equations for scientific machine learning, arXiv preprint C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385 10, 0 | 4 | |
Wilhelm TegethoffArbeitsgruppenleiter, Arbeitsgruppe thermische Energiesysteme, TU BraunschweigDirección de correo verificada de tu-braunschweig.de
