| Deep model predictive flow control with limited sensor data and online learning K Bieker, S Peitz, SL Brunton, JN Kutz, M Dellnitz Theoretical and computational fluid dynamics 34 (4), 577-591, 2020 | 112* | 2020 |
| On the treatment of optimization problems with l1 penalty terms via multiobjective continuation K Bieker, B Gebken, S Peitz IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 14 | 2021 |
| On the universal transformation of data-driven models to control systems S Peitz, K Bieker Automatica 149, 110840, 2023 | 10 | 2023 |
| On the structure of regularization paths for piecewise differentiable regularization terms B Gebken, K Bieker, S Peitz Journal of Global Optimization 85 (3), 709-741, 2023 | 3 | 2023 |
| ParFam--Symbolic Regression Based on Continuous Global Optimization P Scholl, K Bieker, H Hauger, G Kutyniok arXiv preprint arXiv:2310.05537, 2023 | | 2023 |
| Optimization Techniques for Data-Based Control and Machine Learning K Bieker Universitätsbibliothek, 2023 | | 2023 |
