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A max-affine spline approximation of neural networks using the Legendre
  transform of a convex-concave representation

A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation

16 July 2023
Adam Perrett
Danny Wood
Gavin Brown
ArXivPDFHTML

Papers citing "A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation"

4 / 4 papers shown
Title
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
46
78
0
17 May 2018
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
157
9,266
0
14 Dec 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
116
1,570
0
09 Mar 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
278
15,825
0
12 Nov 2013
1