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Learning cosmology and clustering with cosmic graphs
v1v2 (latest)

Learning cosmology and clustering with cosmic graphs

Pablo Villanueva-Domingo
F. Villaescusa-Navarro
ArXiv (abs)PDFHTML

Papers citing "Learning cosmology and clustering with cosmic graphs"

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
249
5
0
28 Jan 2025
Inferring halo masses with Graph Neural Networks
Inferring halo masses with Graph Neural Networks
Pablo Villanueva-Domingo
F. Villaescusa-Navarro
D. Anglés-Alcázar
S. Genel
F. Marinacci
D. Spergel
L. Hernquist
M. Vogelsberger
R. Davé
D. Narayanan
AI4CE
72
36
0
16 Nov 2021
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
F. Villaescusa-Navarro
S. Genel
D. Anglés-Alcázar
L. Thiele
R. Davé
...
Luis Fernando Machado Poletti Valle
L. A. Perez
D. Nagai
N. Battaglia
M. Vogelsberger
62
48
0
22 Sep 2021
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
256
4,371
0
06 Mar 2019