most citedA deep learning approach to cosmological dark energy models

102 citations · 113 across the 3 of their papers we have counts for

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astro-ph.CO2022★ 10 cited

tension or overestimation?

Brayan Yamid Del Valle Mazo, Antonio Enea Romano, Maryi Alejandra Carvajal Quintero

There is a strong discrepancy between the value of the Hubble parameter obtained from large scale observations such as the Planck mission, and the small scale value …

astro-ph.CO2019★ 102 cited

A deep learning approach to cosmological dark energy models

Celia Escamilla-Rivera, Maryi Alejandra Carvajal Quintero, S. Capozziello

We propose a novel deep learning tool in order to study the evolution of dark energy models. The aim is to combine two architectures: the Recurrent Neural Networks (RNN) and the Ba…