We study the problem of learning classification functions from noiseless...
We present a deep learning-based algorithm to jointly solve a reconstruc...
We describe the new field of mathematical analysis of deep learning. Thi...
We prove bounds for the approximation and estimation of certain
classifi...
We perform a comprehensive numerical study of the effect of
approximatio...
We demonstrate that deep neural networks with the ReLU activation functi...
We discuss the expressive power of neural networks which use the non-smo...
We derive upper bounds on the complexity of ReLU neural networks
approxi...
We analyze approximation rates of deep ReLU neural networks for
Sobolev-...
Microlocal analysis provides deep insight into singularity structures an...
Convolutional neural networks are the most widely used type of neural
ne...
We study the necessary and sufficient complexity of ReLU neural networks...