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Tim Bakker
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Experimental design for MRI by greedy policy search
T Bakker, H van Hoof, M Welling
Advances in Neural Information Processing Systems 33, 18954-18966, 2020
322020
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
T Bakker, M Muckley, A Romero-Soriano, M Drozdzal, L Pineda
International Conference on Medical Imaging with Deep Learning, 63-85, 2022
102022
E-valuating classifier two-sample tests
T Pandeva, T Bakker, CA Naesseth, P Forré
arXiv preprint arXiv:2210.13027, 2022
62022
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
S Kanis, L Samson, D Bloembergen, T Bakker
The 10th International Workshop on Urban Computing (UrbComp '21), 2021
12021
Switching policies for solving inverse problems
T Bakker, FV Massoli, T Hehn, T Orekondy, A Behboodi
NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023
2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
T Bakker, H van Hoof, M Welling
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
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Articles 1–6