Koldewey, Christian, Timm Fichtler, Michel Scholtysik, Jan Biehler, Nick Schreiner, Franziska Sommer, Maximilian Schacht, et al. “Exploring Capabilities for the Smart Service Transformation in Manufacturing: Insights from Theory and Practice,” 2024.
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Herbert, Franziska, Steffen Becker, Annalina Buckmann, Marvin Kowalewski, Jonas Hielscher, Yasemin Acar, Markus Dürmuth, M. Angela Sasse, and Yixin Zou. “Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups.”https://doi.org/10.48550/arXiv.2212.12964__IEEE Symposium on Security and Privacy. IEEE, New York, NY, USA, 2024.https://doi.org/10.48550/arXiv.2212.12964 .
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Afroze, Lameya, Silke Merkelbach, Sebastian von Enzberg, and Roman Dumitrescu. “Domain Knowledge Injection Guidance for Predictive Maintenance.” In ML4CPS 2023, 2024.
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Scholtysik, Michel, Malte Rohde, Christian Koldewey, and Roman Dumitrescu. “Business Strategy Taxonomy and Solution Patterns for the Circular Economy,” 2024.
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Dou, Feng, Lin Wang, Shutong Chen, and Fangming Liu. “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics.” In Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE, n.d.
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Blöcher, Marcel, Nils Nedderhut, Pavel Chuprikov, Ramin Khalili, Patrick Eugster, and Lin Wang. “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES.” In Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE, n.d.
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Hu, Haichuan, Fangming Liu, Qiangyu Pei, Yongjie Yuan, Zichen Xu, and Lin Wang. “706Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing.” In Proceedings of the ACM Web Conference (WWW). ACM, 2024.
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Philipp, Friedrich M., Manuel Schaller, Septimus Boshoff, Sebastian Peitz, Feliks Nüske, and Karl Worthmann. “Extended Dynamic Mode Decomposition: Sharp Bounds on the Sample  Efficiency.” ArXiv:2402.02494, 2024.
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Sonntag, Konstantin, and Sebastian Peitz. “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.”https://doi.org/10.1007/s10957-024-02389-3__Journal of Optimization Theory and Applications, 2024.https://doi.org/10.1007/s10957-024-02389-3 .
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Sonntag, Konstantin, Bennet Gebken, Georg Müller, Sebastian Peitz, and Stefan Volkwein. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” ArXiv:2402.06376, 2024.
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Peitz, Sebastian, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, and Kunihiko Taira. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.”https://doi.org/10.1016/j.physd.2024.134096__Physica D: Nonlinear Phenomena 461 (2024): 134096.https://doi.org/10.1016/j.physd.2024.134096 .
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Dorociak, Svitlana. Implementierung Eines Algorithmus Zur Motivbasierten Schnitt-Sparsifizierung, 2024.
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Khedkar, Mugdha, and Eric Bodden. “Toward an Android Static Analysis Approach for Data Protection.” In Proceedings of the 9th International Conference on Mobile Software Engineering and Systems, 2024.
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Otto, Samuel E., Sebastian Peitz, and Clarence W. Rowley. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.”https://doi.org/10.1137/22M1523601__SIAM Journal on Applied Dynamical Systems 23, no. 1 (2024): 885–923.https://doi.org/10.1137/22M1523601 .
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Wickert, Anna-Katharina, Michael Schlichtig, Marvin Vogel, Lukas Winter, Mira Mezini, and Eric Bodden. Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability, 2024.
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Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Post-Configuration Activation of Hardware Trojans in FPGAs.”https://doi.org/10.1007/s41635-024-00147-5__Journal of Hardware and Systems Security, 2024.https://doi.org/10.1007/s41635-024-00147-5 .
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Hüsing, Sven, Carsten Schulte, Sören Sparmann, and Mario Bolte. “Using Worked Examples for Engaging in Epistemic Programming Projects.”https://doi.org/10.1145/3626252.3630961__In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. ACM, 2024.https://doi.org/10.1145/3626252.3630961 .
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Hu, Lijie, Ivan Habernal, Lei Shen, and Di Wang. “Differentially Private Natural Language Models: Recent Advances and Future Directions.” In Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, edited by Yvette Graham and Matthew Purver, 478–499. Association for Computational Linguistics, 2024.
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Igamberdiev, Timour, Doan Nam Long Vu, Felix Kuennecke, Zhuo Yu, Jannik Holmer, and Ivan Habernal. “DP-NMT: Scalable Differentially Private Machine Translation.” In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, edited by Nikolaos Aletras and Orphee De Clercq, 94–105. St. Julians, Malta: Association for Computational Linguistics, 2024.
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Razavi, Kamran, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, and Lin Wang. “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling.” In Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. ACM, 2024.
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