Publications & Software

Derivation of 3D energy-critical nonlinear Schrödinger equation and Bogoliubov excitations for Bose gases

Phan Thành Nam Robert Salzmann
Published 22/10/2019

Accurate autocorrelation modeling substantially improves fMRI reliability

Wiktor Olszowy John Aston Catarina Rua Guy B Williams
Published 21/03/2019

Deep learning for inverse imaging problems: some recent approaches (Conference Presentation)

Carola-Bibiane Schönlieb
Published 14/03/2019

A data-centric bottom-up model for generation of stochastic internal load profiles based on space-use type

RM Ward Ruchi Choudhary Yeonsook Heo JAD Aston
Published 28/02/2019

Enhancing joint reconstruction and segmentation with non-convex Bregman iteration

Veronica Corona Martin Benning Matthias Joachim Ehrhardt Lynn Faith Gladden Richard Mair Andi Reci Andrew J Sederman Stefanie Reichelt Carola-Bibiane Schönlieb
Published 28/02/2019

Efficient Learning for Deep Quantum Neural Networks

Kerstin Beer Dmytro Bondarenko Terry Farrelly Tobias J. Osborne Robert Salzmann Ramona Wolf
Published 27/02/2019

Anisotropic osmosis filtering for shadow removal in images

Simone Parisotto Luca Calatroni Marco Caliari Carola-Bibiane Schönlieb Joachim Weickert
Published 20/02/2019

From Boltzmann to incompressible Navier–Stokes in Sobolev spaces with polynomial weight

Marc Briant Sara Merino-Aceituno Clément Mouhot
Published 23/01/2019

Mini-Workshop: Deep Learning and Inverse Problems

Simon R Arridge Maarten V de Hoop Peter Maaß Carola-Bibiane Schönlieb
Published 04/01/2019

Compact schemes for laser–matter interaction in Schrödinger equation based on effective splittings of Magnus expansion

Arieh Iserles Karolina Kropielnicka Pranav Singh
Published 01/01/2019

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