1 citations · 2 across the 4 of their papers we have counts for
4 papers
Approximation in with deep ReLU neural networks
Felix Voigtlaender, Philipp Petersen
We discuss the expressive power of neural networks which use the non-smooth ReLU activation function by analyzing the approximation theoretic properties…
The Oracle of DLphi
Dominik Alfke, Weston Baines, Jan Blechschmidt +24
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem +1
Microlocal analysis provides deep insight into singularity structures and is often crucial for solving inverse problems, predominately, in imaging sciences. Of particular importanc…
Linear independence of compactly supported separable shearlet systems
Jackie Ma, Philipp Petersen
This paper examines linear independence of shearlet systems. This property has already been studied for wavelets and other systems such as, for instance, for Gabor systems. In fact…