A Random Matrix Approach to Neural Networks

17 February 2017

Papers citing "A Random Matrix Approach to Neural Networks"

8 / 8 papers shown

Title
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 81 0 0 04 Nov 2024
Thermodynamic limit in learning period three Yuichiro Terasaki Kohei Nakajima 62 1 0 12 May 2024
A Large Dimensional Analysis of Least Squares Support Vector Machines Zhenyu Liao Romain Couillet 48 42 0 11 Jan 2017
Kernel spectral clustering of large dimensional data Romain Couillet Florent Benaych-Georges 60 91 0 13 Oct 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 238 1,191 0 30 Nov 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 202 16,311 0 30 Apr 2014
Asymptotic behavior of unregularized and ridge-regularized high-dimensional robust regression estimators : rigorous results N. Karoui 67 109 0 11 Nov 2013
The spectrum of kernel random matrices N. Karoui 142 223 0 04 Jan 2010