Bayesian deep learning for dark energy
Cosmology and Nongalactic Astrophysics
2020-05-27 v1 General Relativity and Quantum Cosmology
Abstract
In this work we discuss basic ideas on how to structure and study the Bayesian methods for standard models of dark energy and how to implement them in the architecture of deep learning processes.
Cite
@article{arxiv.2005.06412,
title = {Bayesian deep learning for dark energy},
author = {Celia Escamilla-Rivera},
journal= {arXiv preprint arXiv:2005.06412},
year = {2020}
}
Comments
Invited chapter for "Cosmology 2020 - The Current State" book