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283 Publications


2021 | Preprint | LibreCat-ID: 21600
Dellnitz, M., Hüllermeier, E., Lücke, M., Ober-Blöbaum, S., Offen, C., Peitz, S., & Pfannschmidt, K. (2021). Efficient time stepping for numerical integration using reinforcement  learning. ArXiv:2104.03562.
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2021 | Journal Article | LibreCat-ID: 16295
Gebken, B., & Peitz, S. (2021). Inverse multiobjective optimization: Inferring decision criteria from data. Journal of Global Optimization, 80, 3–29. https://doi.org/10.1007/s10898-020-00983-z
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2021 | Preprint | LibreCat-ID: 23428
Nüske, F., Peitz, S., Philipp, F., Schaller, M., & Worthmann, K. (2021). Finite-data error bounds for Koopman-based prediction and control. ArXiv:2108.07102.
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2021 | Preprint | LibreCat-ID: 21199
Peitz, S., & Bieker, K. (2021). On the Universal Transformation of Data-Driven Models to Control Systems. ArXiv:2102.04722.
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2021 | Preprint | LibreCat-ID: 27426
Gebken, B., Bieker, K., & Peitz, S. (2021). On the structure of regularization paths for piecewise differentiable  regularization terms. In arXiv:2111.06775.
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2021 | Conference Paper | LibreCat-ID: 22894
Offen, C., & Ober-Blöbaum, S. (2021). Bifurcation preserving discretisations of optimal control problems (Vol. 54, Issue 19, pp. 334–339). https://doi.org/10.1016/j.ifacol.2021.11.099
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2021 | Journal Article | LibreCat-ID: 16867
Gebken, B., & Peitz, S. (2021). An efficient descent method for locally Lipschitz multiobjective optimization problems. Journal of Optimization Theory and Applications, 188, 696–723. https://doi.org/10.1007/s10957-020-01803-w
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2021 | Journal Article | LibreCat-ID: 21195
Goelz, C., Mora, K., Stroehlein, J. K., Haase, F. K., Dellnitz, M., Reinsberger, C., & Vieluf, S. (2021). Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults. Cognitive Neurodynamics. https://doi.org/10.1007/s11571-020-09656-9
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2021 | Journal Article | LibreCat-ID: 24170
Klus, S., Gelß, P., Nüske, F., & Noé, F. (2021). Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry. Machine Learning: Science and Technology, Article 045016. https://doi.org/10.1088/2632-2153/ac14ad
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2021 | Journal Article | LibreCat-ID: 20731
Bieker, K., Gebken, B., & Peitz, S. (2021). On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/TPAMI.2021.3114962
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