research
∙
08/02/2023
Subgradient Langevin Methods for Sampling from Non-smooth Potentials
This paper is concerned with sampling from probability distributions π o...
share
research
∙
07/20/2022
Unsupervised energy disaggregation via convolutional sparse coding
In this work, a method for unsupervised energy disaggregation in private...
research
∙
05/20/2022
Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI
In this paper, a nonlinear approach to separate different motion types i...
research
∙
05/13/2022
Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest
Objective: During cardiac arrest treatment, a reliable detection of spon...
research
∙
04/22/2022
A Note on the Regularity of Images Generated by Convolutional Neural Networks
The regularity of images generated by convolutional neural networks, suc...
research
∙
12/17/2021
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space
An important theme in modern inverse problems is the reconstruction of t...
research
∙
12/03/2019
Higher-order total variation approaches and generalisations
Over the last decades, the total variation (TV) evolved to one of the mo...
research
∙
09/19/2019
