1 code implementation • 27 Feb 2020 • A. Goeßmann, M. Götte, I. Roth, R. Sweke, G. Kutyniok, J. Eisert
Given observations of a physical system, identifying the underlying non-linear governing equation is a fundamental task, necessary both for gaining understanding and generating deterministic future predictions.
1 code implementation • 12 Nov 2018 • T. A. Bubba, G. Kutyniok, M. Lassas, M. März, W. Samek, S. Siltanen, V. Srinivasan
We will develop a hybrid reconstruction framework that fuses model-based sparse regularization with data-driven deep learning.
no code implementations • 5 Aug 2013 • H. Lakshman, W. -Q Lim, H. Schwarz, D. Marpe, G. Kutyniok, T. Wiegand
This paper proposes an image interpolation algorithm exploiting sparse representation for natural images.