S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S. L. Brunton, and K. Taira, “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning,”10.1016/j.physd.2024.134096__Physica D: Nonlinear Phenomena, vol. 461, p. 134096, 2024, doi:10.1016/j.physd.2024.134096 .

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

M. Khedkar and E. Bodden, “Toward an Android Static Analysis Approach for Data Protection,” presented at the 9th International Conference on Mobile Software Engineering and Systems 2024, Lisbon, Portugal, 2024.

S. E. Otto, S. Peitz, and C. W. Rowley, “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories,”10.1137/22M1523601__SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, pp. 885–923, 2024, doi:10.1137/22M1523601 .

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

Q. A. Ahmed, T. Wiersema, and M. Platzner, “Post-configuration Activation of Hardware Trojans in FPGAs,”10.1007/s41635-024-00147-5__Journal of Hardware and Systems Security, 2024, doi:10.1007/s41635-024-00147-5 .

S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,”10.1145/3626252.3630961__2024, doi:10.1145/3626252.3630961 .

L. Hu, I. Habernal, L. Shen, and D. 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, 2024, pp. 478–499.

T. Igamberdiev, D. N. L. Vu, F. Kuennecke, Z. Yu, J. Holmer, and I. 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, 2024, pp. 94–105.

K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented at the The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024.