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.

Causal Question Answering with Reinforcement Learning
L. Blübaum, S. Heindorf, in: The World Wide Web Conference (WWW), ACM, n.d.

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

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

Evaluating the Implications
H. Thakur, Evaluating the Implications, 2024.

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

Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
M. Vinzent Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024.

Error bounds for kernel-based approximations of the Koopman operator
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Applied and Computational Harmonic Analysis  71 (2024).

Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations
M. Lass, T. Kenter, C. Plessl, M. Brehm, Entropy 26 (2024).

Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures
K. Olgu, T. Kenter, J. Nunez-Yanez, S. Mcintosh-Smith, in: Proceedings of the 12th International Workshop on OpenCL and SYCL, ACM, 2024.

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
S. Ghafouri, K. Razavi, M. Salmani, A. Sanaee, T. Lorido Botran, L. Wang, J. Doyle, P. Jamshidi, Journal of Systems Research (JSys) (n.d.).

Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies
L. Höper, C. Schulte, Informatics in Education (2024).

Noctua 2 Supercomputer
C. Bauer, T. Kenter, M. Lass, L. Mazur, M. Meyer, H. Nitsche, H. Riebler, R. Schade, M. Schwarz, N. Winnwa, A. Wiens, X. Wu, C. Plessl, J. Simon, Journal of Large-Scale Research Facilities 9 (2024).

A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT
G. Liu, V. Nigade, H. Bal, L. Wang, in: Proceedings of the 8th ACM Asia Pacific Workshop on Networking (APNET), 2024.

TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR
S.C. Krings, E. Yigitbas, Proceedings of the ACM on Human-Computer Interaction, EICS 8 (2024) 22.

Augmented and Virtual Reality for Diet and Nutritional Education: A Systematic Literature Review
E. Yigitbas, J. Mazur, in: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024), 2024.

Development and Usability Evaluation of Transitional Cross-Reality Interfaces
L. Schmidt, E. Yigitbas, Proceedings of the ACM on Human-Computer Interaction, EICS 8 (2024) 31.

Measuring Visual Attention Capacity Across xReality
K. Biermeier, I. Scharlau, E. Yigitbas, in: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024), 2024.

Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling
E. Yigitbas, M. Schmidt, A. Bucchiarone, S. Bassanelli, G. Engels, in: IEEE Global Engineering Education Conference 2024, 2024.

Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections
E. Yigitbas, C. Kaltschmidt, in: Proceedings of the 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR’24), Springer, 2024.