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Gaussian random field approximation via Stein's method with applications to wide random neural networks
28 June 2023
Krishnakumar Balasubramanian
L. Goldstein
Nathan Ross
Adil Salim
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Papers citing
"Gaussian random field approximation via Stein's method with applications to wide random neural networks"
7 / 7 papers shown
Title
Critical Points of Random Neural Networks
Simmaco Di Lillo
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22 May 2025
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
Steven Adams
A. Patané
Morteza Lahijanian
Luca Laurenti
BDL
81
3
0
26 Jul 2024
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
Stefano Vigogna
BDL
175
2
0
15 May 2024
Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes
Dario Trevisan
UQCV
BDL
88
7
0
18 Dec 2023
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
138
16
0
12 Jul 2023
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Pierre Wolinski
Julyan Arbel
AI4CE
215
9
0
24 May 2022
Stein's method, smoothing and functional approximation
A. Barbour
Nathan Ross
Guangqu Zheng
85
5
0
03 Jun 2021
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