D.J.J. (David) Ruhe MSc
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 904
Postadres
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Postbus 94323
1090 GH Amsterdam
Contactgegevens
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Publicaties
2024
Liu, C., Ruhe, D., Eijkelboom, F., & Forré, P. (in press). Clifford Group Equivariant Simplicial Message Passing Neural Networks. In The International Conference on Learning Representations 2024 OpenReview. https://doi.org/10.48550/arXiv.2402.10011- Rowlinson, A., de Ruiter, I., Starling, R. L. C., Rajwade, K. M., Hennessy, A., Wijers, R. A. M. J., Anderson, G. E., Mevius, M., Ruhe, D., Gourdji, K., van der Horst, A. J., ter Veen, S., & Wiersema, K. (2024). A candidate coherent radio flash following a neutron star merger. Monthly Notices of the Royal Astronomical Society, 534(3), 2592-2608. https://doi.org/10.1093/mnras/stae2234 [details]
2023
- Ruhe, D. J. J., Forré, P. D., & Brandstetter, J. K. (2023). Clifford Group Equivariant Neural Networks. Advances in Neural Information Processing Systems.
2022
- Ruhe, D., Kuiack, M., Rowlinson, A., Wijers, R., & Forré, P. (2022). Detecting dispersed radio transients in real time using convolutional neural networks. Astronomy and Computing, 38, Article 100512. https://doi.org/10.1016/j.ascom.2021.100512 [details]
- Ruhe, D., Wong, K., Cranmer, M., & Forré, P. (2022). Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study. In Machine Learning and the Physical Sciences: Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS) : December 3, 2022 ML4PS. https://doi.org/10.48550/arXiv.2211.09008 [details]
2023
- Federici, M., Ruhe, D. J. J., & Forré, P. D. (2023). On the Effectiveness of Hybrid Mutual Information Estimation. ArXiv. https://doi.org/10.48550/arXiv.2306.00608
2021
- Ruhe, D., & Forré, P. (2021). Self-Supervised Inference in State-Space Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2107.13349 [details]
2022
- Ruhe, D. J. J., & Forré, P. D. (2022). Self-Supervised Inference in State-Space Models. Paper presented at The Tenth International Conference on Learning Representations. https://openreview.net/forum?id=VPjw9KPWRSK
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Nevenwerkzaamheden
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Liu, C., Ruhe, D., Eijkelboom, F., & Forré, P. (in press). Clifford Group Equivariant Simplicial Message Passing Neural Networks. In The International Conference on Learning Representations 2024 OpenReview.