139 citations · 555 across the 26 of their papers we have counts for
5 papers · 1 filter
Regularization by architecture: A deep prior approach for inverse problems
Sören Dittmer, Tobias Kluth, Peter Maass +1
The present paper studies so-called deep image prior (DIP) techniques in the context of ill-posed inverse problems. DIP networks have been recently introduced for applications in i…
Singular Values for ReLU Layers
Sören Dittmer, Emily J. King, Peter Maass
Despite their prevalence in neural networks we still lack a thorough theoretical characterization of ReLU layers. This paper aims to further our understanding of ReLU layers by stu…
Joint bi-modal image reconstruction of DOT and XCT with an extended Mumford-Shah functional
Di He, Ming Jiang, Alfred K. Louis +2
Feature similarity measures are indispensable for joint image reconstruction in multi-modality medical imaging, which enable joint multi-modal image reconstruction (JmmIR) by commu…
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Pascal Fernsel, Peter Maass
Motivated by applications in hyperspectral imaging we investigate methods for approximating a high-dimensional non-negative matrix by a product of two lower-d…
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks
Jens Behrmann, Sören Dittmer, Pascal Fernsel +1
Studying the invertibility of deep neural networks (DNNs) provides a principled approach to better understand the behavior of these powerful models. Despite being a promising diagn…