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Max-plus Operators Applied to Filter Selection and Model Pruning in
  Neural Networks

Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks

19 March 2019
Yunxiang Zhang
S. Blusseau
Santiago Velasco-Forero
Isabelle Bloch
Jesús Angulo
ArXivPDFHTML

Papers citing "Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks"

4 / 4 papers shown
Title
Going beyond p-convolutions to learn grayscale morphological operators
Going beyond p-convolutions to learn grayscale morphological operators
Alexandre Kirszenberg
Guillaume Tochon
Élodie Puybareau
Jesús Angulo
AI4CE
10
13
0
19 Feb 2021
Advances in the training, pruning and enforcement of shape constraints
  of Morphological Neural Networks using Tropical Algebra
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra
Nikolaos Dimitriadis
Petros Maragos
16
9
0
15 Nov 2020
Sparse Approximate Solutions to Max-Plus Equations with Application to
  Multivariate Convex Regression
Sparse Approximate Solutions to Max-Plus Equations with Application to Multivariate Convex Regression
Nikos Tsilivis
Anastasios Tsiamis
Petros Maragos
32
3
0
06 Nov 2020
A Universal Approximation Result for Difference of log-sum-exp Neural
  Networks
A Universal Approximation Result for Difference of log-sum-exp Neural Networks
G. Calafiore
S. Gaubert
Member
C. Possieri
22
44
0
21 May 2019
1