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Results: 8
Number of items: 8
  • Open Access
    Ruhe, D. J. J. (2025). Structured deep learning with applications in astrophysics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zhdanov, M., Ruhe, D., Weiler, M., Lucic, A., Forré, P. D., Brandstetter, J., & Forré, P. (2024). Clifford-steerable convolutional neural networks. Proceedings of Machine Learning Research, 235, 61203-612228. https://proceedings.mlr.press/v235/zhdanov24a.html
  • Open Access
    de Ruiter, I., Meyers, Z. S., Rowlinson, A., Shimwell, T. W., Ruhe, D., & Wijers, R. A. M. J. (2024). Transient study using LoTSS - framework development and preliminary results. Monthly Notices of the Royal Astronomical Society, 531(4), 4805-4822. https://doi.org/10.1093/mnras/stae1458
  • Open Access
    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
  • Open Access
    Ruhe, D., Brandstetter, J., & Forré, P. (2023). Clifford Group Equivariant Neural Networks. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/c6e0125e14ea3d1a3de3c33fd2d49fc4-Abstract-Conference.html
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Ruhe, D., & Forré, P. (2021). Self-Supervised Inference in State-Space Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2107.13349
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