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Picture for Francisco Villaescusa-Navarro

Francisco Villaescusa-Navarro

$\texttt{deep21}$: a Deep Learning Method for 21cm Foreground Removal


Oct 29, 2020
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault-Levasseur, David N. Spergel

* To be submitted to JCAP. 28 pages, 11 figures 

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From Dark Matter to Galaxies with Convolutional Neural Networks


Oct 17, 2019
Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho

* 5 pages, 2 figures. Accepted to the Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019) 

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Learning neutrino effects in Cosmology with Convolutional Neural Networks


Oct 09, 2019
Elena Giusarma, Mauricio Reyes Hurtado, Francisco Villaescusa-Navarro, Siyu He, Shirley Ho, ChangHoon Hahn

* 8 pages, 7 figures 

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HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks


Apr 29, 2019
Juan Zamudio-Fernandez, Atakan Okan, Francisco Villaescusa-Navarro, Seda Bilaloglu, Asena Derin Cengiz, Siyu He, Laurence Perreault Levasseur, Shirley Ho

* 9 pages, 8 figures 

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From Dark Matter to Galaxies with Convolutional Networks


Apr 01, 2019
Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho

* 10 pages, 11 figures, submitted for KDD 2019 

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