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2185 Publications
2024 | Conference Paper | LibreCat-ID: 49354
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.
LibreCat
2024 | Journal Article | LibreCat-ID: 46469 | 
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
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| arXiv
2024 | Journal Article | LibreCat-ID: 50740
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., … 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
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2024 | Journal Article | LibreCat-ID: 40171 |
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
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2024 | Journal Article | LibreCat-ID: 33461 |
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
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| arXiv
2024 | Journal Article | LibreCat-ID: 52712
Buyken, A., & Libuda, L. (2024). Ernährung und Alltagsbewältigung - Ein Spannungsfeld für Individuum, Haushalt und Gesellschaft. DGEwissen.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52827
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.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52842
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
2024 | Journal Article | LibreCat-ID: 53073
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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2024 | Conference Paper | LibreCat-ID: 53095
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.
LibreCat
2024 | Conference Paper | LibreCat-ID: 53304
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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2024 | Journal Article | LibreCat-ID: 53622
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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2024 | Journal Article | LibreCat-ID: 52713
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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2024 | Preprint | LibreCat-ID: 53793 |
Harder, H., & Peitz, S. (n.d.). Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.
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2024 | Preprint | LibreCat-ID: 52758
Harder, H., & Peitz, S. (2024). On the continuity and smoothness of the value function in reinforcement learning and optimal control.
LibreCat
2024 | Preprint | LibreCat-ID: 53805 |
Offen, C. (n.d.). Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification.
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| arXiv
2024 | Conference Paper | LibreCat-ID: 53814
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
2024 | Journal Article | LibreCat-ID: 51270 |
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
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2024 | Preprint | LibreCat-ID: 53858 |
Akhter, J., Fährmann, P. D., Sonntag, K., & Peitz, S. (2024). Common pitfalls to avoid while using multiobjective optimization in machine learning. In arXiv.
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2024 | Conference Paper | LibreCat-ID: 53958
Johnson, O., Piskachev, G., Krishnamurthy, R., & Bodden, E. (2024). Detecting Security-Relevant Methods using Multi-label Machine Learning. Proceedings of the 46th International Conference on Software Engineering, IDE Workshop. https://doi.org/10.48550/ARXIV.2403.07501
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