Decke, J.; Gruhl, C.; Rauch, L. & Sick, B.: DADO – Low-Cost Query Strategies for Deep Active Design Optimization. International Conference on Machine Learning and Applications (ICMLA). IEEE, 2023, S. 1611-1618

Heidecker, F.; Susetzky, T.; Fuchs, E. & Sick, B.: Context Information for Corner Case Detection in Highly Automated Driving. IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023, S. 1522-1529

Lachi, V.; Moallemy-Oureh, A.; Roth, A. & Welke, P.: Graph Pooling Provably Improves Expressivity. Workshop on New Frontiers in Graph Learning, NeurIPS. 2023, S. 1-7
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Moallemy-Oureh, A.; Beddar-Wiesing, S.; Nather, R. & Thomas, J.: Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network. Workshop on Temporal Graph Learning (TGL), NeurIPS. 2023, S. 1-7
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Nivarthi, C. P. & Sick, B.: Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. International Conference on Machine Learning and Applications (ICMLA). IEEE, 2023, S. 1444-1450