Publications

Jens Decke, Christian Gruhl, Lukas Rauch, und Bernhard Sick. DADO – Low-Cost Query Strategies for Deep Active Design Optimization. International Conference on Machine Learning and Applications (ICMLA), 1611--1618, IEEE, 2023. [PUMA: imported itegpub isac-www Self-Optimization Self-Supervised-Learning Design-Optimization Active-Learning Numerical-Simulation]

Chandana Priya Nivarthi, und Bernhard Sick. Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. International Conference on Machine Learning and Applications (ICMLA), 1444--1450, IEEE, 2023. [PUMA: imported itegpub isac-www few-shot learning anomaly detection temporal attention dynamic thresholding]

Florian Heidecker, Tobias Susetzky, Erich Fuchs, und Bernhard Sick. Context Information for Corner Case Detection in Highly Automated Driving. IEEE International Conference on Intelligent Transportation Systems (ITSC), 1522--1529, IEEE, 2023. [PUMA: imported itegpub isac-www]

Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Rüdiger Nather, und Josephine Thomas. Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network. Workshop on Temporal Graph Learning (TGL), NeurIPS, 1--7, 2023. [PUMA: imported itegpub isac-www] URL

Veronica Lachi, Alice Moallemy-Oureh, Andreas Roth, und Pascal Welke. Graph Pooling Provably Improves Expressivity. Workshop on New Frontiers in Graph Learning, NeurIPS, 1--7, 2023. [PUMA: imported itegpub isac-www] URL