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2109.10915
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The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
22 September 2021
F. Villaescusa-Navarro
S. Genel
D. Anglés-Alcázar
L. Thiele
R. Davé
D. Narayanan
A. Nicola
Yin Li
Pablo Villanueva-Domingo
Benjamin Dan Wandelt
D. Spergel
R. Somerville
J. Z. Matilla
F. G. Mohammad
Sultan Hassan
Helen Shao
D. Wadekar
Michael Eickenberg
Kaze W. K. Wong
Gabriella Contardo
Yongseok Jo
E. Moser
E. Lau
Luis Fernando Machado Poletti Valle
L. A. Perez
D. Nagai
N. Battaglia
M. Vogelsberger
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Papers citing
"The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence"
5 / 5 papers shown
Title
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
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
Gabriel Missael Barco
Alexandre Adam
Connor Stone
Y. Hezaveh
Laurence Perreault Levasseur
OOD
42
4
0
24 Jul 2024
Learnable wavelet neural networks for cosmological inference
Christian Pedersen
Michael Eickenberg
S. Ho
16
3
0
24 Jul 2023
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites
Y. Ni
S. Genel
D. Anglés-Alcázar
F. Villaescusa-Navarro
Yongseok Jo
...
M. Gebhardt
Helen Shao
S. Pandey
L. Hernquist
R. Davé
12
22
0
04 Apr 2023
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
N. Mudur
D. Finkbeiner
DiffM
16
15
0
22 Nov 2022
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