1 citations · 3 across the 18 of their papers we have counts for
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Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
Dominik Narnhofer, Andreas Habring, Martin Holler +1
In this work, a method for obtaining pixel-wise error bounds in Bayesian regularization of inverse imaging problems is introduced. The proposed method employs estimates of the post…
Unsupervised energy disaggregation via convolutional sparse coding
Christian Aarset, Andreas Habring, Martin Holler +1
In this work, a method for unsupervised energy disaggregation in private households equipped with smart meters is proposed. This method aims to classify power consumption as active…
A Note on the Regularity of Images Generated by Convolutional Neural Networks
Andreas Habring, Martin Holler
The regularity of images generated by convolutional neural networks, such as the U-net, generative networks, or the deep image prior, is analyzed. In a resolution-independent, infi…