| Bayesian modelling in practice: Using uncertainty to improve trustworthiness in medical applications D Ruhe, G Cina, M Tonutti, D de Bruin, P Elbers arXiv preprint arXiv:1906.08619, 2019 | 13 | 2019 |
| Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study D Ruhe, K Wong, M Cranmer, P Forré arXiv preprint arXiv:2211.09008, 2022 | 2 | 2022 |
| Detecting dispersed radio transients in real time using convolutional neural networks D Ruhe, M Kuiack, A Rowlinson, R Wijers, P Forré Astronomy and Computing 38, 100512, 2022 | 2 | 2022 |
| Self-supervised inference in state-space models D Ruhe, P Forré arXiv preprint arXiv:2107.13349, 2021 | 2 | 2021 |
| LPF: Real-time detection of transient sources in radio data streams D Ruhe, M Kuiack, A Rowlinson, R Wijers, P Forré Astrophysics Source Code Library, ascl: 2103.015, 2021 | 1 | 2021 |
| Geometric Clifford Algebra Networks D Ruhe, JK Gupta, S de Keninck, M Welling, J Brandstetter arXiv preprint arXiv:2302.06594, 2023 | | 2023 |
| Generating CT-scans with 3D Generative Adversarial Networks Using a Supercomputer D Ruhe, V Codreanu, C van Leeuwen, D Podareanu, V Saletore, ... Med-Neurips 2019, 2019 | | 2019 |
| Clustering Biblical Texts Using Recurrent Neural Networks Y van der Schans, D Ruhe, W van Peursen, S Bhulai | | |
| Linguistic Variations in Classical Hebrew: from Markov Models to Neural Networks Y van der Schans, D Ruhe, W van Peursen, S Bhulai | | |
