I. Ocampo

activity

20232026

most citedEnhancing Cosmological Model Selection with Interpretable Machine Learning

6 citations · 13 across the 6 of their papers we have counts for

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astro-ph.CO2023★ 4 cited

Non-Linearity-Free prediction of the growth-rate $f σ_{8}$ using Convolutional Neural Networks

Koya Murakami, Indira Ocampo, Savvas Nesseris +2

The growth-rate $f σ_{8} (z)$ of the large-scale structure of the Universe is an important dynamic probe of gravity that can be used to test for deviations from General Relativity. How…

Non-Linearity-Free prediction of the growth-rate fσ8​ using Convolutional Neural Networks

Non-Linearity-Free prediction of the growth-rate $f σ_{8}$ using Convolutional Neural Networks