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Philipp Petersen

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.FA2
  • cs.LG1
  • eess.IV1
ORCID 0000-0003-3566-1020

identity via Semantic Scholar / OpenAlex

most citedLinear independence of compactly supported separable shearlet systems

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

math.FA2019★ 1 cited

Approximation in Lp(μ) 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 ϱ(x)=max{0,x} by analyzing the approximation theoretic properties…

cs.LG2019

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…

eess.IV2019

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…

math.FA2014★ 1 cited

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…

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