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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"

3 / 3 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
38
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
15
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
19
0
0
20 Nov 2021
1