# Constructive universal high-dimensional distribution generation through deep ReLU networks

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 @conference{icml2020,     author = {Perekrestenko, Dmytro and Müller, Stephan and Bölcskei, Helmut},     title = {Constructive universal high-dimensional distribution generation through deep Re{LU} networks},     booktitle = {Proc. of the 37th International Conference on Machine Learning (ICML)},     misc = {Vienna, Austria},     month = jul,     year = 2020,     keywords = {Neural networks, deep learning, generative networks, approximation theory, dimensionality increase},     url = {http://www.nari.ee.ethz.ch/pubs/p/icml2020} } 
 \bibitem{icml2020} D. Perekrestenko, S. Müller, and H. Bölcskei, Constructive universal high-dimensional distribution generation through deep ReLU networks,'' \emph{Proc. of the 37th International Conference on Machine Learning (ICML)}, Vienna, Austria, July 2020. 
 D. Perekrestenko, S. Müller, and H. Bölcskei, "Constructive universal high-dimensional distribution generation through deep ReLU networks," Proc. of the 37th International Conference on Machine Learning (ICML), Vienna, Austria, July 2020.