502 citations · 1.8k across the 42 of their papers we have counts for
3 papers · 1 filter
Neural Network Approximation of Refinable Functions
Ingrid Daubechies, Ronald DeVore, Nadav Dym +6
In the desire to quantify the success of neural networks in deep learning and other applications, there is a great interest in understanding which functions are efficiently approxi…
Expression of Fractals Through Neural Network Functions
Nadav Dym, Barak Sober, Ingrid Daubechies
To help understand the underlying mechanisms of neural networks (NNs), several groups have, in recent years, studied the number of linear regions of piecewise linear functio…
Nonlinear Approximation and (Deep) ReLU Networks
I. Daubechies, R. DeVore, S. Foucart +2
This article is concerned with the approximation and expressive powers of deep neural networks. This is an active research area currently producing many interesting papers. The res…