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Deep Learning without Global Optimization by Random Fourier Neural Networks

Deep Learning without Global Optimization by Random Fourier Neural Networks

16 July 2024
Owen Davis
Gianluca Geraci
Mohammad Motamed
    BDL
ArXivPDFHTML

Papers citing "Deep Learning without Global Optimization by Random Fourier Neural Networks"

4 / 4 papers shown
Title
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks:
  SGD vs Adaptive Random Fourier Features
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
Aku Kammonen
Lisi Liang
Anamika Pandey
Raúl Tempone
24
2
0
01 Feb 2024
Stacked networks improve physics-informed training: applications to
  neural networks and deep operator networks
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks
Amanda A. Howard
Sarah H. Murphy
Shady E. Ahmed
P. Stinis
AI4CE
42
18
0
11 Nov 2023
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
126
494
0
28 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
197
2,254
0
18 Oct 2020
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