Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant

30 November 2020

Papers citing "Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant"

4 / 4 papers shown

Title
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines Alexandre Adam Laurence Perreault Levasseur Y. Hezaveh Max Welling 29 6 0 10 Jan 2023
Strong Gravitational Lensing Parameter Estimation with Vision Transformer Kuan-Wei Huang G. Chen Po-Wen Chang Sheng-Chieh Lin C. Hsu Vishal Thengane J. Lin 37 7 0 09 Oct 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 2022
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes Ji Won Park A. Villar Yin Li Yan-Fei Jiang S. Ho J. Lin P. Marshall A. Roodman BDL 12 5 0 02 Jun 2021