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06/09/2022
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
We train a neural network model to predict the full phase space evolutio...
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10/17/2019
From Dark Matter to Galaxies with Convolutional Neural Networks
Cosmological simulations play an important role in the interpretation of...
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10/09/2019
Learning neutrino effects in Cosmology with Convolutional Neural Networks
Measuring the sum of the three active neutrino masses, M_ν, is one of th...
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04/29/2019
HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
One of the most promising ways to observe the Universe is by detecting t...
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02/15/2019
From Dark Matter to Galaxies with Convolutional Networks
Cosmological surveys aim at answering fundamental questions about our Un...
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11/15/2018
Learning to Predict the Cosmological Structure Formation
Matter evolved under influence of gravity from minuscule density fluctua...
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08/14/2018
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Deep learning is a promising tool to determine the physical model that d...
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05/01/2018
