ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.09602
  4. Cited By
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"

5 / 5 papers shown
Title
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
49
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
170
9,280
0
14 Dec 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
126
1,570
0
09 Mar 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
327
15,825
0
12 Nov 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
189
2,176
0
18 Feb 2013
1