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2127 Publications
2024 | Conference Paper | LibreCat-ID: 53095
Razavi, Kamran, et al. “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, ACM, 2024.
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2024 | Conference Paper | LibreCat-ID: 52231 | 
Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement Learning.” The World Wide Web Conference (WWW), ACM.
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2024 | Conference Paper | LibreCat-ID: 53304
Kuschel, Maurice, et al. “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning.” ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024, doi:10.1109/icassp48485.2024.10446173.
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2024 | Conference Paper | LibreCat-ID: 52749
Vinzent Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024, doi:10.1109/ssci52147.2023.10372008.
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2024 | Journal Article | LibreCat-ID: 53622
Höper, Lukas, and Carsten Schulte. “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.” Informatics in Education, Vilnius University Press, 2024, doi:10.15388/infedu.2024.19.
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2024 | Journal Article | LibreCat-ID: 52713
Hohoff, E., et al. “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, Cambridge University Press (CUP), 2024, pp. 1–26, doi:10.1017/s1368980024000624.
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2024 | Conference Paper | LibreCat-ID: 53638
Dahms, Frederik Simon, and Werner Homberg. “Modular 3D Roller Straightening – A New Approach to Straightening and Forming of Spring Steel Wires (X10CrNi18-8).” Materials Research Proceedings, Materials Research Forum LLC, 2024, doi:10.21741/9781644903131-154.
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2024 | Preprint | LibreCat-ID: 53793 |
Harder, Hans, and Sebastian Peitz. Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.
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2024 | Preprint | LibreCat-ID: 52758
Harder, Hans, and Sebastian Peitz. On the Continuity and Smoothness of the Value Function in Reinforcement Learning and Optimal Control. 2024.
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2024 | Preprint | LibreCat-ID: 53805 |
Offen, Christian. Machine Learning of Continuous and Discrete Variational ODEs with Convergence Guarantee and Uncertainty Quantification.
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