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Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method

Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method

11 May 2021
Vanessa Piccolo
Dominik Schröder
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Papers citing "Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method"

5 / 5 papers shown
Title
Generalization for Least Squares Regression With Simple Spiked
  Covariances
Generalization for Least Squares Regression With Simple Spiked Covariances
Jiping Li
Rishi Sonthalia
28
0
0
17 Oct 2024
Universality for the global spectrum of random inner-product kernel
  matrices in the polynomial regime
Universality for the global spectrum of random inner-product kernel matrices in the polynomial regime
S. Dubova
Yue M. Lu
Benjamin McKenna
H. Yau
19
4
0
27 Oct 2023
Deterministic equivalent of the Conjugate Kernel matrix associated to
  Artificial Neural Networks
Deterministic equivalent of the Conjugate Kernel matrix associated to Artificial Neural Networks
Clément Chouard
28
2
0
09 Jun 2023
Memorization and Optimization in Deep Neural Networks with Minimum
  Over-parameterization
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
Simone Bombari
Mohammad Hossein Amani
Marco Mondelli
33
26
0
20 May 2022
Deformed semicircle law and concentration of nonlinear random matrices
  for ultra-wide neural networks
Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks
Zhichao Wang
Yizhe Zhu
35
18
0
20 Sep 2021
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