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cs.LG2021
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau
We propose Selective Multiple Power Iterations (SMPI), a new algorithm to address the important Tensor PCA problem that consists in recovering a spike corrup…
cs.LG2020★ 20 cited
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti +1
This paper shows that deep learning (DL) representations of data produced by generative adversarial nets (GANs) are random vectors which fall within the class of so-called \textit{…