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22 Publications


2026 | Conference Paper | LibreCat-ID: 67308
Surrogate-Assisted Multi-objective Design of Complex Multibody Systems
A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 251–262.
LibreCat | DOI
 

2026 | Conference Paper | LibreCat-ID: 67307 | OA
SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
LibreCat | DOI | Download (ext.)
 

2026 | Preprint | LibreCat-ID: 67306 | OA LibreCat | Download (ext.)
 

2026 | Preprint | LibreCat-ID: 67309
Toward an Energy-Optimized Operation of Data Centers Located in Wind Farms Using Reinforcement Learning
J. Stenner, A. Kilian, S. Peitz, H. de Meer, ArXiv:2606.30316 (2026).
LibreCat
 

2026 | Conference Paper | LibreCat-ID: 67300
Enhancing Adversarial Robustness Through Multi-objective Representation Learning
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
LibreCat | DOI
 

2026 | Journal Article | LibreCat-ID: 67302
Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard convection
T. Markmann, M. Straat, S. Peitz, B. Hammer, Neurocomputing 679 (2026) 133201.
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2026 | Conference Paper | LibreCat-ID: 67299 | OA
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.
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2026 | Conference Paper | LibreCat-ID: 67303 | OA
Interactive Pareto navigation for deep multi-task learning
A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.
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2026 | Conference Paper | LibreCat-ID: 67305 | OA
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
J. Becktepe, A. Franz, N. Thuerey, S. Peitz, in: International Conference on Machine Learning (ICML), 2026.
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2026 | Journal Article | LibreCat-ID: 67301
Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
M.C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, S. Peitz, Multibody System Dynamics (2026).
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2026 | Preprint | LibreCat-ID: 67298 | OA LibreCat | Download (ext.)
 

2026 | Preprint | LibreCat-ID: 67304 | OA LibreCat | Download (ext.)
 

2025 | Conference Paper | LibreCat-ID: 67313
Effective Backdoor Learning on Open-Set Face Recognition Systems
D. Voth, L. Dane, J. Grebe, S. Peitz, P. Terhörst, in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–1039.
LibreCat | DOI
 

2025 | Preprint | LibreCat-ID: 67312
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
T. Markmann, M. Straat, S. Peitz, B. Hammer, ArXiv:2504.12000 (2025).
LibreCat
 

2025 | Preprint | LibreCat-ID: 67310
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
S. Boshoff, S. Peitz, S. Klus, ArXiv:2509.22482 (2025).
LibreCat
 

2025 | Journal Article | LibreCat-ID: 67319
The impact of AI on engineering design procedures for dynamical systems
K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.
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2025 | Journal Article | LibreCat-ID: 67317
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M. Berkemeier, S. Peitz, Open Journal of Mathematical Optimization 6 (2025) 1–36.
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2025 | Journal Article | LibreCat-ID: 67314
Group Convolutional Extended Dynamic Mode Decomposition
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Physica D: Nonlinear Phenomena 480 (2025) 134725.
LibreCat | DOI
 

2025 | Journal Article | LibreCat-ID: 67316
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
LibreCat | DOI
 

2025 | Preprint | LibreCat-ID: 67315
Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning
M. Straat, T. Markmann, S. Peitz, B. Hammer, ArXiv:2511.00272 (2025).
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