69 citations · 91 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 69 cited
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +25
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containi…
astro-ph.CO2020★ 22 cited
Neural networks as optimal estimators to marginalize over baryonic effects
Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Daniel Anglés-Alcázar +4
Many different studies have shown that a wealth of cosmological information resides on small, non-linear scales. Unfortunately, there are two challenges to overcome to utilize that…