| Geometric clifford algebra networks D Ruhe, JK Gupta, S De Keninck, M Welling, J Brandstetter International Conference on Machine Learning, 29306-29337, 2023 | 32 | 2023 |
| Clifford group equivariant neural networks D Ruhe, J Brandstetter, P Forré Advances in Neural Information Processing Systems 36, 2024 | 27 | 2024 |
| 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 | 15 | 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 | 10 | 2022 |
| Clifford group equivariant simplicial message passing networks C Liu, D Ruhe, F Eijkelboom, P Forré arXiv preprint arXiv:2402.10011, 2024 | 7 | 2024 |
| Clifford-steerable convolutional neural networks M Zhdanov, D Ruhe, M Weiler, A Lucic, J Brandstetter, P Forré arXiv preprint arXiv:2402.14730, 2024 | 5 | 2024 |
| Self-supervised inference in state-space models D Ruhe, P Forré arXiv preprint arXiv:2107.13349, 2021 | 5 | 2021 |
| A coherent radio flash following a neutron star merger A Rowlinson, I de Ruiter, RLC Starling, KM Rajwade, A Hennessy, ... | 3 | 2023 |
| On the effectiveness of hybrid mutual information estimation M Federici, D Ruhe, P Forré arXiv preprint arXiv:2306.00608, 2023 | 3 | 2023 |
| 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 |
| 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 | 2 | 2021 |
| Clustering biblical texts using recurrent neural networks Y Van der Schans, D Ruhe, W van Peursen, S Bhulai | 2 | 2020 |
| Rolling Diffusion Models D Ruhe, J Heek, T Salimans, E Hoogeboom arXiv preprint arXiv:2402.09470, 2024 | 1 | 2024 |
| Transient study using LoTSS–framework development and preliminary results I de Ruiter, ZS Meyers, A Rowlinson, TW Shimwell, D Ruhe, RAMJ Wijers Monthly Notices of the Royal Astronomical Society 531 (4), 4805-4822, 2024 | | 2024 |
| Multivector Neurons: Better and Faster O (n)-Equivariant Clifford Graph Neural Networks C Liu, D Ruhe, P Forré arXiv preprint arXiv:2406.04052, 2024 | | 2024 |
| 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 |
| Multivector Neurons: Better and Faster O (n)-Equivariant Clifford GNNs C Liu, D Ruhe, P Forré ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
| SINR: Equivariant Neural Vector Fields D Ruhe, P Forré ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
| Linguistic Variations in Classical Hebrew: from Markov Models to Neural Networks Y van der Schans, D Ruhe, W van Peursen, S Bhulai | | |
Patrick ForréAssistant Professor Machine Learning, AI4Science Lab Manager, University of AmsterdamVerified email at uva.nl
