S. Hellebrand, S. Sadeghi-Kohan, and H.-J. Wunderlich, “Functional Safety and Reliability of Interconnects throughout the Silicon Life Cycle,” in International Symposium of EDA (ISEDA), Xi’an, China, May 10-13, 2024, Xi’an, China, p. 1.

H.-J. Wunderlich, H. Jafarzadeh, and S. Hellebrand, “Robust Test of Small Delay Faults under  PVT-Variations,” in International Symposium of EDA (ISEDA), Xi’an, China, May 10-13, 2024, Xi’an, China, p. 1.

A. Stiballe, J. D. Reimer, S. Sadeghi-Kohan, and S. Hellebrand, Modeling Crosstalk-induced Interconnect Delay with Polynomial Regression. Darmstadt, Germany: 37. ITG / GMM / GI -Workshop “Testmethoden und Zuverlässigkeit von Schaltungen und Systemen”  (TuZ’24), Feb. 2024, 2024.

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.

C. Boeddeker, A. S. Subramanian, G. Wichern, R. Haeb-Umbach, and J. Le Roux, “TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings,”10.1109/taslp.2024.3350887__IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 1185–1197, 2024, doi:10.1109/taslp.2024.3350887 .

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.

S. Leyendecker, S. Maslovskaya, S. Ober-Blöbaum, R. T. S. M. de Almagro, and F. O. Szemenyei, “A new Lagrangian approach to control affine systems with a quadratic Lagrange term,”10.3934/jcd.2024017__Journal of Computational Dynamics, vol. 0, no. 0, pp. 0–0, 2024, doi:10.3934/jcd.2024017 .

D. Edelmann, B. Kovács, and C. Lubich, “Numerical analysis of an evolving bulk--surface model of tumour growth,”10.48550/ARXIV.2401.09372__arXiv, 2024, doi:10.48550/ARXIV.2401.09372 .

L. Blübaum and S. Heindorf, “Causal Question Answering with Reinforcement Learning,” presented at the The Web Conference, Singapore.

M. Soleymani, I. Santamaria, E. Jorswieck, R. Schober, and L. Hanzo, “Optimization of the Downlink Spectral- and Energy-Efficiency of  RIS-aided Multi-user URLLC MIMO Systems,” arXiv:2402.16434. 2024.

M. Soleymani, I. Santamaria, A. Sezgin, and E. Jorswieck, “Maximization of Minimum Rate in MIMO OFDM RIS-Assisted Broadcast Channels,”10.1109/camsap58249.2023.10403459__2024, doi:10.1109/camsap58249.2023.10403459 .

M. Soleymani, I. Santamaria, and E. Jorswieck, “NOMA-Based Improper Signaling for MIMO STAR-RIS-Assisted Broadcast Channels with Hardware Impairments,”10.1109/globecom54140.2023.10437458__2024, doi:10.1109/globecom54140.2023.10437458 .

L. Hölsch et al., “Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives,”10.1109/tec.2024.3374962__IEEE Transactions on Energy Conversion, pp. 1–12, 2024, doi:10.1109/tec.2024.3374962 .

M. Kuschel, T. Hasija, and T. Marrinan, “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning,”10.1109/icassp48485.2024.10446173__2024, doi:10.1109/icassp48485.2024.10446173 .

C. De Groote, A Dispersion Algorithm for Robot Swarms Inside Polygonal Boundary Shapes. 2024.

R. Doddegowda, Optimal Drone Strategies For Packet Delivery. 2024.

H. Thakur, Evaluating the Implications. 2024.

O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in Applications of Evolutionary Computation, Cham: Springer Nature Switzerland, 2024.

M. Vinzent Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,”10.1109/ssci52147.2023.10372008__2024, doi:10.1109/ssci52147.2023.10372008 .