%0 Conference Paper %1 conf/icml/SeddikLTC20 %A Seddik, Mohamed El Amine %A Louart, Cosme %A Tamaazousti, Mohamed %A Couillet, Romain %B ICML %D 2020 %I PMLR %K dblp %P 8573-8582 %T Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. %U http://dblp.uni-trier.de/db/conf/icml/icml2020.html#SeddikLTC20 %V 119

@inproceedings{conf/icml/SeddikLTC20, added-at = {2020-12-15T00:00:00.000+0100}, author = {Seddik, Mohamed El Amine and Louart, Cosme and Tamaazousti, Mohamed and Couillet, Romain}, biburl = {https://www.bibsonomy.org/bibtex/25c2a6595edfec04550c307120e907742/dblp}, booktitle = {ICML}, crossref = {conf/icml/2020}, ee = {http://proceedings.mlr.press/v119/seddik20a.html}, interhash = {136aa5abb08b7cc02a36d2e70a7f4d4f}, intrahash = {5c2a6595edfec04550c307120e907742}, keywords = {dblp}, pages = {8573-8582}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-04-10T01:43:06.000+0200}, title = {Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2020.html#SeddikLTC20}, volume = 119, year = 2020 }