Philipp, Friedrich M., et al. “Extended Dynamic Mode Decomposition: Sharp Bounds on the Sample  Efficiency.” ArXiv:2402.02494, 2024.
LibreCat: /record/51160
arXiv: 2402.02494

Sonntag, Konstantin, and Sebastian Peitz. “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.”10.1007/s10957-024-02389-3__Journal of Optimization Theory and Applications, Springer, 2024, doi:10.1007/s10957-024-02389-3.
LibreCat: /record/46019
DOI: 10.1007/s10957-024-02389-3

Sonntag, Konstantin, et al. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” ArXiv:2402.06376, 2024.
LibreCat: /record/51334
arXiv: 	2402.06376

Peitz, Sebastian, et al. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.”10.1016/j.physd.2024.134096__Physica D: Nonlinear Phenomena, vol. 461, Elsevier, 2024, p. 134096, doi:10.1016/j.physd.2024.134096.
LibreCat: /record/40171
DOI: 10.1016/j.physd.2024.134096

Otto, Samuel E., et al. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.”10.1137/22M1523601__SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, SIAM, 2024, pp. 885–923, doi:10.1137/22M1523601.
LibreCat: /record/33461
DOI: 10.1137/22M1523601
arXiv: 2209.09977

Philipp, Friedrich, et al. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.”10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis , vol. 71, 101657, Springer , 2024, doi:10.1016/j.acha.2024.101657.
LibreCat: /record/38031
DOI: 10.1016/j.acha.2024.101657
arXiv: 2301.08637

Akhter, Junaid, et al. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” ArXiv, 2024.
LibreCat: /record/53858

Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.”10.1016/j.automatica.2022.110840__Automatica, vol. 149, 110840, Elsevier, 2023, doi:10.1016/j.automatica.2022.110840.
LibreCat: /record/21199
DOI: 10.1016/j.automatica.2022.110840

Werner, Stefan, and Sebastian Peitz. “Learning a Model Is Paramount for Sample Efficiency in Reinforcement  Learning Control of PDEs.” ArXiv:2302.07160, 2023.
LibreCat: /record/42160
arXiv: 2302.07160

Gebken, Bennet, et al. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.”10.1007/s10898-022-01223-2__Journal of Global Optimization, vol. 85, no. 3, 2023, pp. 709–41, doi:10.1007/s10898-022-01223-2.
LibreCat: /record/27426
DOI: 10.1007/s10898-022-01223-2

Schaller, Manuel, et al. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.”10.1016/j.ifacol.2023.02.029__IFAC-PapersOnLine, vol. 56, no. 1, 2023, pp. 169–74, doi:10.1016/j.ifacol.2023.02.029.
LibreCat: /record/30125
DOI: 10.1016/j.ifacol.2023.02.029
arXiv: 2202.09084

Hotegni, Sedjro Salomon, et al. “Approximation Algorithms for Fair Range Clustering.” Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.
LibreCat: /record/45695

Peitz, Sebastian, et al. “Partial Observations, Coarse Graining and Equivariance in Koopman  Operator Theory for Large-Scale Dynamical Systems.” ArXiv:2307.15325, 2023.
LibreCat: /record/46579
arXiv: 2307.15325

Nüske, Feliks, et al. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.”10.1007/s00332-022-09862-1__Journal of Nonlinear Science, vol. 33, 14, 2023, doi:10.1007/s00332-022-09862-1.
LibreCat: /record/23428
DOI: 10.1007/s00332-022-09862-1

Hotegni, Sedjro Salomon, et al. “Multi-Objective Optimization for Sparse Deep Neural Network Training.” ArXiv:2308.12243, 2023.
LibreCat: /record/46649
arXiv: 2308.12243

Dellnitz, Michael, et al. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.”10.1137/21M1412682__SIAM Journal on Scientific Computing, vol. 45, no. 2, 2023, pp. 9–95, doi:10.1137/21M1412682.
LibreCat: /record/21600
DOI: 10.1137/21M1412682
arXiv: arXiv:2104.03562

Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.”10.21105/joss.05616__Journal of Open Source Software, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:10.21105/joss.05616.
LibreCat: /record/46784
DOI: 10.21105/joss.05616

Wohlleben, Meike Claudia, et al. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.”10.1002/pamm.202300039__Proceedings in Applied Mathematics and Mechanics, Wiley, 2023, doi:10.1002/pamm.202300039.
LibreCat: /record/46813
DOI: 10.1002/pamm.202300039

Peitz, Sebastian, et al. Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator. 2023.
LibreCat: /record/48502

Amakor, Augustina Chidinma, et al. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” ArXiv, 2023.
LibreCat: /record/51159