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The Loss Surfaces of Neural Networks with General Activation Functions

The Loss Surfaces of Neural Networks with General Activation Functions

8 April 2020
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
    ODL
    AI4CE
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Papers citing "The Loss Surfaces of Neural Networks with General Activation Functions"

6 / 6 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
15
11
0
12 Feb 2021
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case
L. Pastur
V. Slavin
CML
24
12
0
20 Nov 2020
Iterative Averaging in the Quest for Best Test Error
Iterative Averaging in the Quest for Best Test Error
Diego Granziol
Xingchen Wan
Samuel Albanie
Stephen J. Roberts
10
3
0
02 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,354
0
12 Dec 2018
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
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