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Non-asymptotic approximations of neural networks by Gaussian processes

Non-asymptotic approximations of neural networks by Gaussian processes

17 February 2021
Ronen Eldan
Dan Mikulincer
T. Schramm
ArXivPDFHTML

Papers citing "Non-asymptotic approximations of neural networks by Gaussian processes"

6 / 6 papers shown
Title
Variational Search Distributions
Variational Search Distributions
Daniel M. Steinberg
Rafael Oliveira
Cheng Soon Ong
Edwin V. Bonilla
33
0
0
10 Sep 2024
Quantitative CLTs in Deep Neural Networks
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
20
10
0
12 Jul 2023
Large-width asymptotics for ReLU neural networks with $α$-Stable
  initializations
Large-width asymptotics for ReLU neural networks with ααα-Stable initializations
Stefano Favaro
S. Fortini
Stefano Peluchetti
15
2
0
16 Jun 2022
Rate of Convergence of Polynomial Networks to Gaussian Processes
Rate of Convergence of Polynomial Networks to Gaussian Processes
Adam Klukowski
8
14
0
04 Nov 2021
Random Neural Networks in the Infinite Width Limit as Gaussian Processes
Random Neural Networks in the Infinite Width Limit as Gaussian Processes
Boris Hanin
BDL
8
43
0
04 Jul 2021
A single gradient step finds adversarial examples on random two-layers
  neural networks
A single gradient step finds adversarial examples on random two-layers neural networks
Sébastien Bubeck
Yeshwanth Cherapanamjeri
Gauthier Gidel
Rémi Tachet des Combes
MLT
13
27
0
08 Apr 2021
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