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Wide Deep Neural Networks with Gaussian Weights are Very Close to
  Gaussian Processes

Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes

18 December 2023
Dario Trevisan
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes"

5 / 5 papers shown
Title
Student-t processes as infinite-width limits of posterior Bayesian neural networks
Student-t processes as infinite-width limits of posterior Bayesian neural networks
Francesco Caporali
Stefano Favaro
Dario Trevisan
BDL
120
0
0
06 Feb 2025
Proportional infinite-width infinite-depth limit for deep linear neural
  networks
Proportional infinite-width infinite-depth limit for deep linear neural networks
Federico Bassetti
Lucia Ladelli
P. Rotondo
62
1
0
22 Nov 2024
Quantitative CLTs in Deep Neural Networks
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
23
11
0
12 Jul 2023
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Pierre Wolinski
Julyan Arbel
AI4CE
68
8
0
24 May 2022
Non-asymptotic approximations of neural networks by Gaussian processes
Non-asymptotic approximations of neural networks by Gaussian processes
Ronen Eldan
Dan Mikulincer
T. Schramm
28
24
0
17 Feb 2021
1