Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations

9 August 2017

Papers citing "Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations"

6 / 6 papers shown

Title
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time Duc Anh Nguyen Ernesto Araya Adalbert Fono Gitta Kutyniok 71 0 0 23 May 2025
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory Canlin Zhang Xiuwen Liu 78 0 0 01 Apr 2025
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 52 1 0 13 Sep 2023
$Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms$ Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms Ingo Gühring Gitta Kutyniok P. Petersen 55 200 0 21 Feb 2019
Exponential expressivity in deep neural networks through transient chaos Ben Poole Subhaneil Lahiri M. Raghu Jascha Narain Sohl-Dickstein Surya Ganguli 76 587 0 16 Jun 2016
Learning Functions: When Is Deep Better Than Shallow H. Mhaskar Q. Liao T. Poggio 48 144 0 03 Mar 2016