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A spin-glass model for the loss surfaces of generative adversarial
  networks

A spin-glass model for the loss surfaces of generative adversarial networks

7 January 2021
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
    GAN
ArXivPDFHTML

Papers citing "A spin-glass model for the loss surfaces of generative adversarial networks"

5 / 5 papers shown
Title
Universal characteristics of deep neural network loss surfaces from
  random matrix theory
Universal characteristics of deep neural network loss surfaces from random matrix theory
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
Diego Granziol
22
4
0
17 May 2022
Appearance of Random Matrix Theory in Deep Learning
Appearance of Random Matrix Theory in Deep Learning
Nicholas P. Baskerville
Diego Granziol
J. Keating
11
11
0
12 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
175
1,184
0
30 Nov 2014
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