Bieker, Katharina, Bennet Gebken, and Sebastian Peitz. “On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation.”https://doi.org/10.1109/TPAMI.2021.3114962__IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 11 (2022): 7797–7808.https://doi.org/10.1109/TPAMI.2021.3114962 .
LibreCat: /record/20731
DOI: 10.1109/TPAMI.2021.3114962

Nüske, Feliks, Patrick Gelß, Stefan Klus, and Cecilia Clementi. “Tensor-Based Computation of Metastable and Coherent Sets.”https://doi.org/10.1016/j.physd.2021.133018__Physica D: Nonlinear Phenomena, 2021.https://doi.org/10.1016/j.physd.2021.133018 .
LibreCat: /record/24169
DOI: 10.1016/j.physd.2021.133018

Klus, Stefan, Patrick Gelß, Feliks Nüske, and Frank Noé. “Symmetric and Antisymmetric Kernels for Machine Learning Problems in Quantum Physics and Chemistry.”https://doi.org/10.1088/2632-2153/ac14ad__Machine Learning: Science and Technology, 2021.https://doi.org/10.1088/2632-2153/ac14ad .
LibreCat: /record/24170
DOI: 10.1088/2632-2153/ac14ad

Goelz, Christian, Karin Mora, Julia Kristin Stroehlein, Franziska Katharina Haase, Michael Dellnitz, Claus Reinsberger, and Solveig Vieluf. “Electrophysiological Signatures of Dedifferentiation Differ between Fit and Less Fit Older Adults.”https://doi.org/10.1007/s11571-020-09656-9__Cognitive Neurodynamics, 2021.https://doi.org/10.1007/s11571-020-09656-9 .
LibreCat: /record/21195
DOI: 10.1007/s11571-020-09656-9

Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.”https://doi.org/10.3390/mca26020031__Mathematical and Computational Applications 26, no. 2 (2021).https://doi.org/10.3390/mca26020031 .
LibreCat: /record/21337
DOI: 10.3390/mca26020031

Nüske, Feliks, Péter Koltai, Lorenzo Boninsegna, and Cecilia Clementi. “Spectral Properties of Effective Dynamics from Conditional Expectations.”https://doi.org/10.3390/e23020134__Entropy, 2021.https://doi.org/10.3390/e23020134 .
LibreCat: /record/21820
DOI: 10.3390/e23020134

Gebken, Bennet, and Sebastian Peitz. “An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.”https://doi.org/10.1007/s10957-020-01803-w__Journal of Optimization Theory and Applications 188 (2021): 696–723.https://doi.org/10.1007/s10957-020-01803-w .
LibreCat: /record/16867
DOI: 10.1007/s10957-020-01803-w

Gebken, Bennet, and Sebastian Peitz. “Inverse Multiobjective Optimization: Inferring Decision Criteria from Data.”https://doi.org/10.1007/s10898-020-00983-z__Journal of Global Optimization 80 (2021): 3–29.https://doi.org/10.1007/s10898-020-00983-z .
LibreCat: /record/16295
DOI: 10.1007/s10898-020-00983-z

Gerlach, Raphael. The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems, 2021.https://doi.org/10.17619/UNIPB/1-1278 .
LibreCat: /record/32057
DOI: 10.17619/UNIPB/1-1278

Ober-Blöbaum, Sina, and Sebastian Peitz. “Explicit Multiobjective Model Predictive Control for Nonlinear Systems  with Symmetries.”https://doi.org/10.1002/rnc.5281__International Journal of Robust and Nonlinear Control 31(2) (2021): 380–403.https://doi.org/10.1002/rnc.5281 .
LibreCat: /record/16294
DOI: 10.1002/rnc.5281

Flaßkamp, Kathrin, Sina Ober-Blöbaum, and Sebastian Peitz. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.”https://doi.org/10.1007/978-3-030-51264-4_9__In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle. Cham: Springer, 2020.https://doi.org/10.1007/978-3-030-51264-4_9 .
LibreCat: /record/17411
DOI: 10.1007/978-3-030-51264-4_9

Klus, Stefan, Feliks Nüske, and Boumediene Hamzi. “Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator.”https://doi.org/10.3390/e22070722__Entropy, 2020.https://doi.org/10.3390/e22070722 .
LibreCat: /record/21819
DOI: 10.3390/e22070722

Schütze, Oliver, Oliver Cuate, Adanay Martín, Sebastian Peitz, and Michael Dellnitz. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.”https://doi.org/10.1080/0305215x.2019.1617286__Engineering Optimization 52, no. 5 (2020): 832–55.https://doi.org/10.1080/0305215x.2019.1617286 .
LibreCat: /record/10596
DOI: 10.1080/0305215x.2019.1617286

Klus, Stefan, Feliks Nüske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, and Christof Schütte. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.”https://doi.org/10.1016/j.physd.2020.132416__Physica D: Nonlinear Phenomena 406 (2020).https://doi.org/10.1016/j.physd.2020.132416 .
LibreCat: /record/16288
DOI: 10.1016/j.physd.2020.132416

Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.”https://doi.org/10.1007/978-3-030-35713-9_10__In Lecture Notes in Control and Information Sciences, 484:257–82. Lecture Notes in Control and Information Sciences. Cham: Springer, 2020.https://doi.org/10.1007/978-3-030-35713-9_10 .
LibreCat: /record/16289
DOI: 10.1007/978-3-030-35713-9_10

Bieker, Katharina, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz, and Michael Dellnitz. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.”https://doi.org/10.1007/s00162-020-00520-4__Theoretical and Computational Fluid Dynamics 34 (2020): 577–591.https://doi.org/10.1007/s00162-020-00520-4 .
LibreCat: /record/16290
DOI: 10.1007/s00162-020-00520-4

Peitz, Sebastian, Samuel E. Otto, and Clarence W. Rowley. “Data-Driven Model Predictive Control Using Interpolated Koopman  Generators.”https://doi.org/10.1137/20M1325678__SIAM Journal on Applied Dynamical Systems 19, no. 3 (2020): 2162–93.https://doi.org/10.1137/20M1325678 .
LibreCat: /record/16309
DOI: 10.1137/20M1325678

Gerlach, Raphael, Adrian Ziessler, Bruno Eckhardt, and Michael Dellnitz. “A Set-Oriented Path Following Method for the Approximation of Parameter Dependent Attractors.”https://doi.org/10.1137/19m1247139__SIAM Journal on Applied Dynamical Systems, 2020, 705–23.https://doi.org/10.1137/19m1247139 .
LibreCat: /record/16710
DOI: 10.1137/19m1247139

Hernández Castellanos, Carlos Ignacio, Sina Ober-Blöbaum, and Sebastian Peitz. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems  Under Uncertainty.”https://doi.org/10.1002/rnc.5197__International Journal of Robust and Nonlinear Control 30(17) (2020): 7593–7618.https://doi.org/10.1002/rnc.5197 .
LibreCat: /record/16297
DOI: 10.1002/rnc.5197

Gerlach, Raphael, and Adrian Ziessler. “The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems.”https://doi.org/10.1007/978-3-030-51264-4_3__In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle, 304:66–85. Studies in Systems, Decision and Control. Cham: Springer International Publishing, 2020.https://doi.org/10.1007/978-3-030-51264-4_3 .
LibreCat: /record/17994
DOI: 10.1007/978-3-030-51264-4_3