Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks

19 November 2019

Papers citing "Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks"

9 / 9 papers shown

Title
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
Unsupervised Domain Adaptation for Constraining Star Formation Histories Sankalp Gilda Antoine de Mathelin Sabine Bellstedt Guillaume Richard 40 10 0 28 Dec 2021
Reconstructing Cosmic Polarization Rotation with ResUNet-CMB E. Guzman Joel Meyers 30 9 0 20 Sep 2021
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing S. Wagner-Carena Ji Won Park S. Birrer P. Marshall A. Roodman Risa Wechsler UQCV BDL 29 38 0 26 Oct 2020
Parameters Estimation from the 21 cm signal using Variational Inference Héctor J. Hortúa Riccardo Volpi Luigi Malagò 19 2 0 04 May 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms J. Caldeira Brian D. Nord BDL UQCV UD 19 79 0 22 Apr 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 207 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015