Exploring Capabilities for the Smart Service Transformation in Manufacturing: Insights from Theory and Practice
C. Koldewey, T. Fichtler, M. Scholtysik, J. Biehler, N. Schreiner, F. Sommer, M. Schacht, J. Kaufmann, M. Rabe, J. Sedlmeier, R. Dumitrescu, in: 2024.

Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups
F. Herbert, S. Becker, A. Buckmann, M. Kowalewski, J. Hielscher, Y. Acar, M. Dürmuth, M.A. Sasse, Y. Zou, IEEE Symposium on Security and Privacy. IEEE, New York, NY, USA (2024).

Domain Knowledge Injection Guidance for Predictive Maintenance
L. Afroze, S. Merkelbach, S. von Enzberg, R. Dumitrescu, in: ML4CPS 2023, 2024.

Business strategy taxonomy and solution patterns for the circular economy
M. Scholtysik, M. Rohde, C. Koldewey, R. Dumitrescu, in: 2024.

X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics
F. Dou, L. Wang, S. Chen, F. Liu, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE, n.d.

Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES
M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, L. Wang, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE, n.d.

706Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing
H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, L. Wang, in: Proceedings of the ACM Web Conference (WWW), ACM, 2024.

Extended Dynamic Mode Decomposition: Sharp bounds on the sample  efficiency
F.M. Philipp, M. Schaller, S. Boshoff, S. Peitz, F. Nüske, K. Worthmann, ArXiv:2402.02494 (2024).

Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems
K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).

A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, ArXiv:2402.06376 (2024).

Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.

Implementierung eines Algorithmus zur motivbasierten Schnitt-Sparsifizierung
S. Dorociak, Implementierung Eines Algorithmus Zur Motivbasierten Schnitt-Sparsifizierung, 2024.

Toward an Android Static Analysis Approach for Data Protection
M. Khedkar, E. Bodden, in: Proceedings of the 9th International Conference on Mobile Software Engineering and Systems, 2024.

Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories
S.E. Otto, S. Peitz, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 23 (2024) 885–923.

Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability
A.-K. Wickert, M. Schlichtig, M. Vogel, L. Winter, M. Mezini, E. Bodden, Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability, 2024.

Post-configuration Activation of Hardware Trojans in FPGAs
Q.A. Ahmed, T. Wiersema, M. Platzner, Journal of Hardware and Systems Security (2024).

Using Worked Examples for Engaging in Epistemic Programming Projects
S. Hüsing, C. Schulte, S. Sparmann, M. Bolte, in: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, ACM, 2024.

Differentially Private Natural Language Models: Recent Advances and Future Directions
L. Hu, I. Habernal, L. Shen, D. Wang, in: Y. Graham, M. Purver (Eds.), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, Association for Computational Linguistics, 2024, pp. 478–499.

DP-NMT: Scalable Differentially Private Machine Translation
T. Igamberdiev, D.N.L. Vu, F. Kuennecke, Z. Yu, J. Holmer, I. Habernal, in: N. Aletras, O. De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, Association for Computational Linguistics, St. Julians, Malta, 2024, pp. 94–105.

Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling
K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, L. Wang, in: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024.