Correlated Weights in Infinite Limits of Deep Convolutional Neural
Networks

v1v2 (latest)

Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks

11 January 2021

Adrià Garriga-Alonso

Mark van der Wilk

ArXiv (abs)PDF HTML

Papers citing "Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks"

8 / 8 papers shown

Title
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks Sanjeev Arora S. Du Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang Dingli Yu AAML 66 162 0 03 Oct 2019
On the Impact of the Activation Function on Deep Neural Networks Training Soufiane Hayou Arnaud Doucet Judith Rousseau ODL 65 200 0 19 Feb 2019
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso C. Rasmussen Laurence Aitchison BDL UQCV 109 271 0 16 Aug 2018
Gaussian Process Behaviour in Wide Deep Neural Networks A. G. Matthews Mark Rowland Jiri Hron Richard Turner Zoubin Ghahramani BDL 157 561 0 30 Apr 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 135 1,099 0 01 Nov 2017
Exponential expressivity in deep neural networks through transient chaos Ben Poole Subhaneil Lahiri M. Raghu Jascha Narain Sohl-Dickstein Surya Ganguli 90 595 0 16 Jun 2016
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 110 330 0 19 Dec 2011
Additive Covariance Kernels for High-Dimensional Gaussian Process Modeling N. Durrande D. Ginsbourger O. Roustant L. Carraro 83 102 0 27 Nov 2011