We propose a novel framework for the regularised inversion of deep neura...
Source conditions are a key tool in variational regularisation to derive...
The reconstruction of images from their corresponding noisy Radon transf...
We introduce a novel mathematical formulation for the training of
feed-f...
This research project investigates the application of deep learning to t...
We present a generalisation of Rosenblatt's traditional perceptron learn...
Strain engineering is used to obtain desirable materials properties in a...
Velocity-encoded MRI is an imaging technique used in different areas to
...
The aim of this paper is to investigate the use of an entropic projectio...
The aim of this paper is to investigate the use of an entropic projectio...
The discovery of the theory of compressed sensing brought the realisatio...
We consider recent work of Haber and Ruthotto 2017 and Chang et al. 2018...
In this paper we demonstrate that the framework of nonlinear spectral
de...
This paper deals with the problem of reconstructing a depth map from a
s...