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 .
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L. Blübaum and S. Heindorf, “Causal Question Answering with Reinforcement Learning,” presented at the The Web Conference, Singapore.
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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.
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arXiv: 2402.16434

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 .
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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 .
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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 .
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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 .
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C. De Groote, A Dispersion Algorithm for Robot Swarms Inside Polygonal Boundary Shapes. 2024.
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R. Doddegowda, Optimal Drone Strategies For Packet Delivery. 2024.
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H. Thakur, Evaluating the Implications. 2024.
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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.
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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 .
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L. Claes and M. Webersen, pyfds 0.3.1 - modular field simulation tool. GitHub, Inc., 2024.
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B. Delarue, D. Monclair, and A. Sanders, “Locally homogeneous Axiom A flows I: projective Anosov subgroups and  exponential mixing,” arXiv:2403.14257. 2024.
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arXiv: 2403.14257

B. Delarue and J. Hilgert, “Quantum resonances and scattering poles of classical rank one locally  symmetric spaces,” arXiv:2403.14426. 2024.
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arXiv: 2403.14426

F. Philipp, M. Schaller, K. Worthmann, S. Peitz, and F. Nüske, “Error bounds for kernel-based approximations of the Koopman operator,”10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis , vol. 71, Art. no. 101657, 2024, doi:10.1016/j.acha.2024.101657 .
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M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,”10.3390/e26040322__Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi:10.3390/e26040322 .
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K. Olgu, T. Kenter, J. Nunez-Yanez, and S. Mcintosh-Smith, “Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures,”10.1145/3648115.3648134__2024, doi:10.1145/3648115.3648134 .
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S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency,” Journal of Systems Research (JSys).
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B. Kovács, “Numerical surgery for mean curvature flow of surfaces,”10.1137/22M1531919__SIAM Journal on Scientific Computing, vol. 46, no. 2, 2024, doi:10.1137/22M1531919 .
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