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Solving high-dimensional parameter inference: marginal posterior
  densities & Moment Networks

Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks

11 November 2020
N. Jeffrey
Benjamin Dan Wandelt
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Papers citing "Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks"

4 / 4 papers shown
Title
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Natalí S. M. de Santi
F. Villaescusa-Navarro
L. Abramo
Helen Shao
Lucia A. Perez
...
F. Marinacci
D. Spergel
K. Dolag
L. Hernquist
M. Vogelsberger
59
4
0
28 Jan 2025
Optimal simulation-based Bayesian decisions
Optimal simulation-based Bayesian decisions
Justin Alsing
Thomas D. P. Edwards
Benjamin Dan Wandelt
23
2
0
09 Nov 2023
Learnable wavelet neural networks for cosmological inference
Learnable wavelet neural networks for cosmological inference
Christian Pedersen
Michael Eickenberg
S. Ho
8
3
0
24 Jul 2023
The Cosmic Graph: Optimal Information Extraction from Large-Scale
  Structure using Catalogues
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
T. Lucas Makinen
Tom Charnock
Pablo Lemos
Natalia Porqueres
A. Heavens
Benjamin Dan Wandelt
20
26
0
11 Jul 2022
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