Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities

8 April 2023

Papers citing "Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities"

6 / 6 papers shown

Title
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection Steven Adams A. Patané Morteza Lahijanian Luca Laurenti BDL 36 2 0 26 Jul 2024
Breuer-Major Theorems for Hilbert Space-Valued Random Variables M. Duker Pavlos Zoubouloglou 33 0 0 19 May 2024
Quantitative CLTs in Deep Neural Networks Stefano Favaro Boris Hanin Domenico Marinucci I. Nourdin G. Peccati BDL 33 12 0 12 Jul 2023
A Quantitative Functional Central Limit Theorem for Shallow Neural Networks Valentina Cammarota Domenico Marinucci M. Salvi Stefano Vigogna 42 7 0 29 Jun 2023
Gaussian random field approximation via Stein's method with applications to wide random neural networks Krishnakumar Balasubramanian L. Goldstein Nathan Ross Adil Salim 35 8 0 28 Jun 2023
Non-asymptotic approximations of neural networks by Gaussian processes Ronen Eldan Dan Mikulincer T. Schramm 38 24 0 17 Feb 2021