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Results: 12
Number of items: 12
  • 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
  • Cole, A., Miller, B. K., Witte, S. J., Cai, M. X., Grootes, M. W., Nattino, F., & Weniger, C. (2022). Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation. Journal of Cosmology and Astroparticle Physics, 2022(9), Article 004. https://doi.org/10.48550/arXiv.2111.08030, https://doi.org/10.1088/1475-7516/2022/09/004
  • Biagetti, M., Calles, J., Castiblanco, L., Cole, A., & Noreña, J. (2022). Fisher forecasts for primordial non-Gaussianity from persistent homology. Journal of Cosmology and Astroparticle Physics, 2022(10), Article 002. https://doi.org/10.1088/1475-7516/2022/10/002
  • 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
  • Miller, B. K., Cole, A., Forré, P., Louppe, G., & Weniger, C. (2021). Truncated Marginal Neural Ratio Estimation - Data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5592427
  • Biagetti, M., Cole, A., & Shiu, G. (2021). The persistence of large scale structures. Part I: Primordial non-gaussianity. Journal of Cosmology and Astroparticle Physics, 2021(4), Article 061. https://doi.org/10.1088/1475-7516/2021/04/061
  • Cole, A., & Shiu, G. (2021). Towards the “shape” of cosmological observables and the string theory landscape with topological data analysis. In F. Nielsen (Ed.), Progress in Information Geometry (pp. 219-244). (Signals and Communication Technology). Springer. https://doi.org/10.1007/978-3-030-65459-7_9
  • Open Access
    Aalsma, L., Cole, A., Loges, G. J., & Shiu, G. (2021). A new spin on the Weak Gravity Conjecture. Journal of High Energy Physics, 2021(3), Article 85. https://doi.org/10.1007/JHEP03(2021)085
  • Open Access
    Aalsma, L., Cole, A., Morvan, E., van der Schaar, J. P., & Shiu, G. (2021). Shocks and information exchange in de Sitter space. Journal of High Energy Physics, 2021(10), Article 104. https://doi.org/10.1007/JHEP10(2021)104
  • Open Access
    Cole, A., Loges, G. J., & Shiu, G. (2021). Quantitative and interpretable order parameters for phase transitions from persistent homology. Physical Review B, 104(10), Article 104426. https://doi.org/10.1103/PhysRevB.104.104426
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