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cs.LG2021
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…
cs.LG2019
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…