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Results: 127
Number of items: 127
  • Open Access
    Anau Montel, N. (2024). Simulation-based inference for astrophysical data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Montel, N. A., Coogan, A., Correa, C., Karchev, K., & Weniger, C. (2023). Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation. Monthly Notices of the Royal Astronomical Society, 518(2), 2746-2760. https://doi.org/10.1093/mnras/stac3215
  • Open Access
    Karchev, K., Trotta, R., & Weniger, C. (2023). SICRET: Supernova Ia Cosmology with truncated marginal neural Ratio EsTimation. Monthly Notices of the Royal Astronomical Society, 520(1), 1056-1072. https://doi.org/10.1093/mnras/stac3785
  • Open Access
    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
  • Open Access
    Noordhuis, D., Prabhu, A., Witte, S. J., Chen, A. Y., Cruz, F., & Weniger, C. (2023). Novel Constraints on Axions Produced in Pulsar Polar-Cap Cascades. Physical Review Letters, 131(11), Article 111004. https://doi.org/10.1103/PhysRevLett.131.111004
  • Open Access
    Saxena, A., Cole, A., Gazagnes, S., Meerburg, P. D., Weniger, C., & Witte, S. J. (2023). Constraining the X-ray heating and reionization using 21-cm power spectra with Marginal Neural Ratio Estimation. Monthly Notices of the Royal Astronomical Society, 525(4), 6097-6111. https://doi.org/10.1093/mnras/stad2659
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Cole, A., Forre, P., Louppe, G., Miller, B. K., & Weniger, C. (2022). Truncated Marginal Neural Ratio Estimation. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 1, pp. 129-143). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/01632f7b7a127233fa1188bd6c2e42e1-Abstract.html
  • Open Access
    Pecimotika, M., Adamczyk, K., Dominis Prester, D., Gueta, O., Hrupec, D., Maier, G., Mićanović, S., Pavletić, L., Sitarek, J., Sobczyńska, D., Szanecki, M., & Cherenkov Telescope Array Consortium (2022). Performance of the Cherenkov Telescope Array in the presence of clouds. Proceedings of Science, 395, Article 773. https://doi.org/10.22323/1.395.0773
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