Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing

26 October 2020

Papers citing "Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing"

6 / 6 papers shown

Title
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 40 30 0 06 Feb 2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks Héctor J. Hortúa L. '. García Leonardo Castañeda C. BDL 24 4 0 09 Jan 2023
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks Ji Won Park S. Birrer Madison Ueland M. Cranmer A. Agnello S. Wagner-Carena P. Marshall A. Roodman The Lsst Dark Energy Science Collaboration 13 2 0 15 Nov 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 26 12 0 15 Mar 2022
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant Ji Won Park S. Wagner-Carena S. Birrer P. Marshall J. Lin A. Roodman 3DV 8 24 0 30 Nov 2020
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015