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

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

26 October 2020
S. Wagner-Carena
Ji Won Park
S. Birrer
P. Marshall
A. Roodman
Risa Wechsler
    UQCV
    BDL
ArXivPDFHTML

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

12 / 12 papers shown
Title
Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Lukas Heinrich
S. Mishra-Sharma
C. Pollard
Philipp Windischhofer
31
5
0
21 Jun 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General
  Inference
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos
A. Coogan
Y. Hezaveh
Laurence Perreault Levasseur
45
31
0
06 Feb 2023
Pixelated Reconstruction of Foreground Density and Background Surface
  Brightness in Gravitational Lensing Systems using Recurrent Inference
  Machines
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
42
6
0
10 Jan 2023
Constraining cosmological parameters from N-body simulations with
  Variational Bayesian Neural Networks
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
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
26
2
0
15 Nov 2022
Strong Gravitational Lensing Parameter Estimation with Vision
  Transformer
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
40
7
0
09 Oct 2022
Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with
  Uncertainty Quantification using Bayesian Neural Networks
Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks
Dimitrios Tanoglidis
A. Ćiprijanović
A. Drlica-Wagner
BDL
14
0
0
07 Jul 2022
Machine Learning and Cosmology
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
34
12
0
15 Mar 2022
Inferring Black Hole Properties from Astronomical Multivariate Time
  Series with Bayesian Attentive Neural Processes
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
20
5
0
02 Jun 2021
A Bayesian neural network predicts the dissolution of compact planetary
  systems
A Bayesian neural network predicts the dissolution of compact planetary systems
M. Cranmer
Daniel Tamayo
H. Rein
Peter W. Battaglia
S. Hadden
P. Armitage
S. Ho
D. Spergel
BDL
13
27
0
11 Jan 2021
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks
  for Accurate and Precise Inference of the Hubble Constant
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
16
24
0
30 Nov 2020
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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