activity
20182021
most citedGeneralised Perceptron Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

9 papers

cs.SD2021

Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks

Russell Sammut Bonnici, Charalampos Saitis, Martin Benning

This research project investigates the application of deep learning to timbre transfer, where the timbre of a source audio can be converted to the timbre of a target audio with min…

cs.LG20202 cited

Generalised Perceptron Learning

Xiaoyu Wang, Martin Benning

We present a generalisation of Rosenblatt's traditional perceptron learning algorithm to the class of proximal activation functions and demonstrate how this generalisation can be i…

math.NA2020

Scanning electron diffraction tomography of strain

Robert Tovey, Duncan N. Johnstone, Sean M. Collins +4

Strain engineering is used to obtain desirable materials properties in a range of modern technologies. Direct nanoscale measurement of the three-dimensional strain tensor field wit…

eess.IV2019

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

Veronica Corona, Martin Benning, Lynn F. Gladden +3

Velocity-encoded MRI is an imaging technique used in different areas to assess flow motion. Some applications include medical imaging such as cardiovascular blood flow studies, and…

math.OC2019

Bregman Itoh--Abe methods for sparse optimisation

Martin Benning, Erlend S. Riis, Carola-Bibiane Schönlieb

In this paper we propose optimisation methods for variational regularisation problems based on discretising the inverse scale space flow with discrete gradient methods. Inverse sca…

math.OC2019

An entropic Landweber method for linear ill-posed problems

Martin Burger, Elena Resmerita, Martin Benning

The aim of this paper is to investigate the use of an entropic projection method for the iterative regularization of linear ill-posed problems. We derive a closed form solution for…