Kavli Affiliate: Mark Vogelsberger | First 5 Authors: NatalĂ S. M. de Santi, Helen Shao, Francisco Villaescusa-Navarro, L. Raul Abramo, Romain Teyssier | Summary: We train graph neural networks to perform field-level likelihood-free inference using galaxy catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project. Our models are rotational, translational, and permutation invariant and do […]
Continue.. Robust Field-level Likelihood-free Inference with Galaxies