2023

Decke, J.; Gruhl, C.; Rauch, L. & Sick, B. (2023), DADO – Low-Cost Query Strategies for Deep Active Design Optimization, in 'International Conference on Machine Learning and Applications (ICMLA)' , IEEE, , pp. 1611--1618 .
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Heidecker, F.; Susetzky, T.; Fuchs, E. & Sick, B. (2023), Context Information for Corner Case Detection in Highly Automated Driving, in 'IEEE International Conference on Intelligent Transportation Systems (ITSC)' , IEEE, , pp. 1522--1529 .
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Lachi, V.; Moallemy-Oureh, A.; Roth, A. & Welke, P. (2023), Graph Pooling Provably Improves Expressivity, in 'Workshop on New Frontiers in Graph Learning, NeurIPS' , pp. 1--7 .
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Moallemy-Oureh, A.; Beddar-Wiesing, S.; Nather, R. & Thomas, J. (2023), Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network, in 'Workshop on Temporal Graph Learning (TGL), NeurIPS' , pp. 1--7 .
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Nivarthi, C. P. & Sick, B. (2023), Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding, in 'International Conference on Machine Learning and Applications (ICMLA)' , IEEE, , pp. 1444--1450 .
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