Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Davide Piras, Laura Herold, Luisa Lucie-Smith, Eiichiro Komatsu, | Summary: Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological models given by the disentangled ‘latent’ representation of a variational autoencoder (VAE) trained […]
Continue.. $Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum