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Towards a mathematical framework to inform Neural Network modelling via
  Polynomial Regression

Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression

7 February 2021
Pablo Morala
Jenny Alexandra Cifuentes
R. Lillo
Iñaki Ucar
ArXivPDFHTML

Papers citing "Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression"

2 / 2 papers shown
Title
HOPE: High-order Polynomial Expansion of Black-box Neural Networks
HOPE: High-order Polynomial Expansion of Black-box Neural Networks
Tingxiong Xiao
Weihang Zhang
Yuxiao Cheng
J. Suo
34
2
0
17 Jul 2023
Activation Functions Not To Active: A Plausible Theory on Interpreting
  Neural Networks
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks
Jonathan Z. Chiang
AI4CE
18
3
0
01 May 2023
1