Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation

15 November 2021

Papers citing "Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation"

4 / 4 papers shown

Title
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference François Rozet Gilles Louppe 63 6 0 01 Oct 2021
Robust marginalization of baryonic effects for cosmological inference at the field level F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar D. Spergel Yin Li ... Helen Shao Sultan Hassan D. Narayanan R. Davé M. Vogelsberger 13 15 0 21 Sep 2021
Multifield Cosmology with Artificial Intelligence F. Villaescusa-Navarro D. Anglés-Alcázar S. Genel D. Spergel Yin Li ... Sultan Hassan J. Z. Matilla D. Narayanan R. Davé M. Vogelsberger AI4CE 27 20 0 20 Sep 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021