Learning the Green's function using deep learning models enables to solv...
We investigate the statistical behavior of gradient descent iterates wit...
The availability of massive image databases resulted in the development ...
In this paper we analyze the L_2 error of neural network regression
esti...
Estimation of a regression function from independent and identically
dis...
Convolutional neural networks learned by minimizing the cross-entropy lo...
This article contributes to the current statistical theory of deep neura...
We study the power of deep neural networks (DNNs) with sigmoid activatio...
We consider least squares regression estimates using deep neural network...
Recent results in nonparametric regression show that deep learning, i.e....