3 citations · 4 across the 2 of their papers we have counts for
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cs.IT2017★ 3 cited
Optimal deep neural networks for sparse recovery via Laplace techniques
Steffen Limmer, Slawomir Stanczak
This paper introduces Laplace techniques for designing a neural network, with the goal of estimating simplex-constraint sparse vectors from compressed measurements. To this end, we…
cs.IT2015
A Simple Algorithm for Approximation by Nomographic Functions
Steffen Limmer, Jafar Mohammadi, Slawomir Stanczak
This paper introduces a novel algorithmic solution for the approximation of a given multivariate function by a nomographic function that is composed of a one-dimensional continuous…