Browsing School of Mathematical Sciences by Author "Ehrhardt, MJ"
Now showing items 1-4 of 4
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Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework
Benning, M; Betcke, MM; Ehrhardt, MJ; Schönlieb, C-B (2021-01-01) -
Deep learning as optimal control problems
Benning, M; Celledoni, E; Ehrhardt, MJ; Owren, B; Schönlieb, C-B (Elsevier, 2021-07-01)We briefly review recent work where deep learning neural networks have been interpreted as discretisations of an optimal control problem subject to an ordinary differential equation constraint. We report here new preliminary ... -
Enhancing joint reconstruction and segmentation with non-convex Bregman iteration
Corona, V; Benning, M; Ehrhardt, MJ; Gladden, LF; Mair, R; Reci, A; Sederman, AJ; Reicheit, S; Schonlieb, C-B (2019-05) -
Learning the Sampling Pattern for MRI
Sherry, F; Benning, M; De los Reyes, JC; Graves, MJ; Maierhofer, G; Williams, G; Schonlieb, C-B; Ehrhardt, MJ (2020)