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Liu, C., Ruhe, D. J. J., Eijkelboom, F., & Forré, P. D. (in press). Clifford Group Equivariant Simplicial Message Passing Neural Networks. In The International Conference on Learning Representations 2024 https://doi.org/10.48550/arXiv.2402.10011
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]
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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