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2302.14101
Cited By

Robust Field-level Likelihood-free Inference with Galaxies

v1v2 (latest)

Robust Field-level Likelihood-free Inference with Galaxies

Astrophysical Journal (ApJ), 2023

27 February 2023

Natalí S. M. de Santi

F. Villaescusa-Navarro

Pablo Villanueva-Domingo

D. Anglés-Alcázar

Elena Hernández-Martínez

Christopher C. Lovell

M. Vogelsberger

ArXiv (abs)PDF HTML

Papers citing "Robust Field-level Likelihood-free Inference with Galaxies"

7 / 7 papers shown

Set-based Implicit Likelihood Inference of Galaxy Cluster Mass

Set-based Implicit Likelihood Inference of Galaxy Cluster Mass

184

1

0

27 Jul 2025

CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning

CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning

Richard Stiskalek

C. K. Jespersen

Lawrence K. Saul

F. Villaescusa-Navarro

236

2

0

04 Jul 2025

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 effectsJournal of Cosmology and Astroparticle Physics (JCAP), 2023

Natalí S. M. de Santi

F. Villaescusa-Navarro

...

M. Vogelsberger

641

10

0

28 Jan 2025

How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations
with Diffusion Models and Point Clouds

How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds

F. Villaescusa-Navarro

S. Mishra-Sharma

C. Cuesta-Lázaro

...

Julian B. Munoz

Kassidy E. Kollmann

110

5

0

04 Sep 2024

Domain Adaptive Graph Neural Networks for Constraining Cosmological
Parameters Across Multiple Data Sets

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

A. Ćiprijanović

F. Villaescusa-Navarro

360

13

0

02 Nov 2023

Data Compression and Inference in Cosmology with Self-Supervised Machine
Learning

Data Compression and Inference in Cosmology with Self-Supervised Machine LearningMonthly notices of the Royal Astronomical Society (MNRAS), 2023

Aizhan Akhmetzhanova

S. Mishra-Sharma

272

14

0

18 Aug 2023

The CAMELS project: Expanding the galaxy formation model space with new
ASTRID and 28-parameter TNG and SIMBA suites

The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suitesAstrophysical Journal (ApJ), 2023

D. Anglés-Alcázar

F. Villaescusa-Navarro

...

221

36

0

04 Apr 2023

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