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Fundamental limits of overparametrized shallow neural networks for
  supervised learning

Fundamental limits of overparametrized shallow neural networks for supervised learning

11 July 2023
Francesco Camilli
D. Tieplova
Jean Barbier
ArXivPDFHTML

Papers citing "Fundamental limits of overparametrized shallow neural networks for supervised learning"

5 / 5 papers shown
Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Francesco Camilli
D. Tieplova
Eleonora Bergamin
Jean Barbier
100
0
0
06 May 2025
Non-asymptotic approximations of neural networks by Gaussian processes
Non-asymptotic approximations of neural networks by Gaussian processes
Ronen Eldan
Dan Mikulincer
T. Schramm
33
24
0
17 Feb 2021
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
88
152
0
02 Mar 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
131
200
0
07 Feb 2020
Trainability and Accuracy of Neural Networks: An Interacting Particle
  System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
59
118
0
02 May 2018
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