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Large-width functional asymptotics for deep Gaussian neural networks

Large-width functional asymptotics for deep Gaussian neural networks

Daniele Bracale
Stefano Favaro
S. Fortini
Stefano Peluchetti
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Papers citing "Large-width functional asymptotics for deep Gaussian neural networks"

7 / 7 papers shown
Title
Function-Space MCMC for Bayesian Wide Neural Networks
Function-Space MCMC for Bayesian Wide Neural Networks
Lucia Pezzetti
Stefano Favaro
Stefano Peluchetti
BDL
228
0
0
26 Aug 2024
Quantitative CLTs in Deep Neural Networks
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
43
12
0
12 Jul 2023
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities
Alberto Bordino
Stefano Favaro
S. Fortini
28
7
0
08 Apr 2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
François Caron
Fadhel Ayed
Paul Jung
Hoileong Lee
Juho Lee
Hongseok Yang
67
2
0
02 Feb 2023
Large-width asymptotics for ReLU neural networks with $α$-Stable initializations
Large-width asymptotics for ReLU neural networks with αα-Stable initializations
Stefano Favaro
S. Fortini
Stefano Peluchetti
28
2
0
16 Jun 2022
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoileong Lee
Fadhel Ayed
Paul Jung
Juho Lee
Hongseok Yang
François Caron
51
10
0
17 May 2022
Convergence of neural networks to Gaussian mixture distribution
Convergence of neural networks to Gaussian mixture distribution
Yasuhiko Asao
Ryotaro Sakamoto
S. Takagi
BDL
35
2
0
26 Apr 2022