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ORCIDKatharina Bieker
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2020 – today
- 2023
[b1]Katharina Bieker:
Optimization Techniques for Data-Based Control and Machine Learning. University of Paderborn, Germany, 2023- [j3]Sebastian Peitz
, Katharina Bieker:
On the universal transformation of data-driven models to control systems. Autom. 149: 110840 (2023) - [j2]Bennet Gebken, Katharina Bieker, Sebastian Peitz:
On the structure of regularization paths for piecewise differentiable regularization terms. J. Glob. Optim. 85(3): 709-741 (2023) - [i4]Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok:
ParFam - Symbolic Regression Based on Continuous Global Optimization. CoRR abs/2310.05537 (2023) - 2022
- [j1]Katharina Bieker, Bennet Gebken, Sebastian Peitz:
On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7797-7808 (2022) - 2021
- [i3]Sebastian Peitz, Katharina Bieker:
On the Universal Transformation of Data-Driven Models to Control Systems. CoRR abs/2102.04722 (2021) - 2020
- [i2]Katharina Bieker, Bennet Gebken, Sebastian Peitz:
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation. CoRR abs/2012.07483 (2020)
2010 – 2019
- 2019
- [i1]Katharina Bieker, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz, Michael Dellnitz:
Deep Model Predictive Control with Online Learning for Complex Physical Systems. CoRR abs/1905.10094 (2019)
Coauthor Index
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