Afroze, L., Merkelbach, S., von Enzberg, S., &; Dumitrescu, R. (2024). Domain Knowledge Injection Guidance for Predictive Maintenance. ML4CPS 2023. ML4CPS – Machine Learning For Cyber-Physical Systems, Hamburg.
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Offen, C., &; Ober-Blöbaum, S. (2024). Learning of discrete models of variational PDEs from data. Chaos, 34(1), Article 013104.https://doi.org/10.1063/5.0172287 
LibreCat: /record/46469
DOI: 10.1063/5.0172287
arXiv: 2308.05082 

Weber, K. S., Schlesinger, S., Lang, A., Straßburger, K., Maalmi, H., Zhu, A., Zaharia, O.-P., Strom, A., Bönhof, G. J., Goletzke, J., Trenkamp, S., Wagner, R., Buyken, A., Lieb, W., Roden, M., Herder, C., Roden, M., Al-Hasani, H., Belgardt, B.,https://doi.org/10.1016/j.numecd.2023.12.026__Wagner, R. (2024). Association of dietary patterns with diabetes-related comorbidities varies among diabetes endotypes. Nutrition, Metabolism and Cardiovascular Diseases.https://doi.org/10.1016/j.numecd.2023.12.026 
LibreCat: /record/50740
DOI: 10.1016/j.numecd.2023.12.026

Peitz, S., Stenner, J., Chidananda, V., Wallscheid, O., Brunton, S. L., &; Taira, K. (2024). Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning. Physica D: Nonlinear Phenomena, 461, 134096.https://doi.org/10.1016/j.physd.2024.134096 
LibreCat: /record/40171
DOI: 10.1016/j.physd.2024.134096

Vanita, V., Waidha, A. I., Vasala, S., Puphal, P., Schoch, R., Glatzel, P., Bauer, M., &; Clemens, O. (2024). Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries. Journal of Materials Chemistry A.https://doi.org/10.1039/d4ta00704b 
LibreCat: /record/52346
DOI: 10.1039/d4ta00704b

Otto, S. E., Peitz, S., &; Rowley, C. W. (2024). Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories. SIAM Journal on Applied Dynamical Systems, 23(1), 885–923.https://doi.org/10.1137/22M1523601 
LibreCat: /record/33461
DOI: 10.1137/22M1523601
arXiv: 2209.09977

Buyken, A., &; Libuda, L. (2024). Ernährung und Alltagsbewältigung - Ein Spannungsfeld für Individuum, Haushalt und Gesellschaft. DGEwissen.
LibreCat: /record/52712

Hu, L., Habernal, I., Shen, L., &; Wang, D. (2024). Differentially Private Natural Language Models: Recent Advances and Future Directions. In Y. Graham &; M. Purver (Eds.), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024 (pp. 478–499). Association for Computational Linguistics.
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Igamberdiev, T., Vu, D. N. L., Kuennecke, F., Yu, Z., Holmer, J., &; Habernal, I. (2024). DP-NMT: Scalable Differentially Private Machine Translation. In N. Aletras &; O. De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp. 94–105). Association for Computational Linguistics.
LibreCat: /record/52842

Muschalik, M., Fumagalli, F., Hammer, B., &; Huellermeier, E. (2024). Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence, 38(13), 14388–14396.https://doi.org/10.1609/aaai.v38i13.29352 
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DOI: 10.1609/aaai.v38i13.29352

Razavi, K., Ghafouri, S., Mühlhäuser, M., Jamshidi, P., &; Wang, L. (2024). Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece.
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Kuschel, M., Hasija, T., &; Marrinan, T. (2024). Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).https://doi.org/10.1109/icassp48485.2024.10446173 
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DOI: 10.1109/icassp48485.2024.10446173

Vinzent Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., &; Trautmann, H. (2024). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI).https://doi.org/10.1109/ssci52147.2023.10372008 
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DOI: 10.1109/ssci52147.2023.10372008

Höper, L., &; Schulte, C. (2024). Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies. Informatics in Education.https://doi.org/10.15388/infedu.2024.19 
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DOI: 10.15388/infedu.2024.19

Hohoff, E., Jankovic, N., Perrar, I., Schnermann, M., Herder, C., Nöthlings, U., Libuda, L., &; Alexy, U. (2024). The association between dairy intake in adolescents with inflammation and risk markers of type 2 diabetes during young adulthood – results of the DONALD study. Public Health Nutrition, 1–26.https://doi.org/10.1017/s1368980024000624 
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DOI: 10.1017/s1368980024000624

Harder, H., &; Peitz, S. (n.d.). Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.
LibreCat: /record/53793

Harder, H., &; Peitz, S. (2024). On the continuity and smoothness of the value function in reinforcement learning and optimal control.
LibreCat: /record/52758

Offen, C. (n.d.). Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification.
LibreCat: /record/53805
arXiv: arXiv:2404.19626

Yigitbas, E., Schmidt, M., Bucchiarone, A., Bassanelli, S., &; Engels, G. (2024). Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling. IEEE Global Engineering Education Conference 2024.
LibreCat: /record/53814

Treder, A. (2024). Métodos de la mediación de cultura en el entrenamiento práctico de futuros/as profesores/as de Alemán como Lengua Extranjera. Revista Lengua y Cultura, 5(10), 56–68.https://doi.org/10.29057/lc.v5i10.12379 
LibreCat: /record/51270
DOI: https://doi.org/10.29057/lc.v5i10.12379