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A Universal Approximation Result for Difference of log-sum-exp Neural
  Networks

A Universal Approximation Result for Difference of log-sum-exp Neural Networks

21 May 2019
G. Calafiore
S. Gaubert
Member
C. Possieri
ArXivPDFHTML

Papers citing "A Universal Approximation Result for Difference of log-sum-exp Neural Networks"

4 / 4 papers shown
Title
A Margin-Maximizing Fine-Grained Ensemble Method
A Margin-Maximizing Fine-Grained Ensemble Method
Jinghui Yuan
Hao Chen
Renwei Luo
Feiping Nie
44
2
0
19 Sep 2024
Partial Identification of Causal Effects Using Proxy Variables
Partial Identification of Causal Effects Using Proxy Variables
AmirEmad Ghassami
I. Shpitser
E. T. Tchetgen
CML
23
8
0
10 Apr 2023
SPINE: Soft Piecewise Interpretable Neural Equations
SPINE: Soft Piecewise Interpretable Neural Equations
Jasdeep Singh Grover
Harsh Minesh Domadia
Rajashree Tapase
Grishma Sharma
21
0
0
20 Nov 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
1