Search results
Results: 123
Number of items: 123
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Noordhuis, D., Prabhu, A., Weniger, C., & Witte, S. J. (2024). The Growth and Evolution of Axion Clouds around Pulsars. Proceedings of Science, 454, Article 022. https://doi.org/10.22323/1.454.0022 -
Karchev, K., Grayling, M., Boyd, B. M., Trotta, R., Mandel, K. S., & Weniger, C. (2024). SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data. Monthly Notices of the Royal Astronomical Society, 530(4), 3881-3896. https://doi.org/10.1093/mnras/stae995 -
Ginés, E. U., Noordhuis, D., Weniger, C., & Witte, S. J. (2024). Numerical analysis of resonant axion-photon mixing. Physical Review D, 110(8), Article 083007. https://doi.org/10.1103/PhysRevD.110.083007 -
Montel, N. A., Alvey, J., & Weniger, C. (2024). Scalable inference with autoregressive neural ratio estimation. Monthly Notices of the Royal Astronomical Society, 530(4), 4107-4124. https://doi.org/10.1093/mnras/stae1130 -
Coogan, A., Anau Montel, N., Karchev, K., Grootes, M. W., Nattino, F., & Weniger, C. (2024). The effect of the perturber population on subhalo measurements in strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 527(1), 66-78. https://doi.org/10.1093/MNRAS/STAD2925 -
Bhardwaj, U., Alvey, J., Miller, B. K., Nissanke, S., & Weniger, C. (2023). Sequential simulation-based inference for gravitational wave signals. Physical Review D, 108(4), Article 042004. https://doi.org/10.48550/arXiv.2304.02035, https://doi.org/10.1103/PhysRevD.108.042004 -
Forré, P., Miller, B. K., & Weniger, C. (2023). Contrastive Neural Ratio Estimation. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 5, pp. 3262-3278). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2210.06170 -
Alvey, J., Gerdes, M., & Weniger, C. (2023). Albatross: a scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way. Monthly Notices of the Royal Astronomical Society, 525(3), 3662-3681. https://doi.org/10.1093/mnras/stad2458
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