6 citations · 13 across the 6 of their papers we have counts for
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astro-ph.CO2024★ 1 cited
Neural Networks for cosmological model selection and feature importance using Cosmic Microwave Background data
I. Ocampo, G. Cañas-Herrera, S. Nesseris
The measurements of the temperature and polarisation anisotropies of the Cosmic Microwave Background (CMB) by the ESA Planck mission have strongly supported the current concordance…
astro-ph.CO2024★ 6 cited
Enhancing Cosmological Model Selection with Interpretable Machine Learning
Indira Ocampo, George Alestas, Savvas Nesseris +1
We propose a novel approach using neural networks (NNs) to differentiate between cosmological models, and implemented LIME as an interpretability approach to identify the key featu…