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Karl Schrader
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2020 – today
- 2023
- [j2]Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections Between Numerical Algorithms for PDEs and Neural Networks. J. Math. Imaging Vis. 65(1): 185-208 (2023) - [j1]Pascal Peter
, Karl Schrader, Tobias Alt, Joachim Weickert:
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl. 26(4): 1585-1600 (2023) - [c3]Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert:
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM 2023: 16-28 - [i6]Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert:
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. CoRR abs/2303.10096 (2023) - [i5]Karl Schrader, Joachim Weickert, Michael Krause:
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations. CoRR abs/2309.05575 (2023) - 2022
- [c2]Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel:
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. EUVIP 2022: 1-6 - [i4]Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel:
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. CoRR abs/2207.07921 (2022) - 2021
- [c1]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM 2021: 294-306 - [i3]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. CoRR abs/2103.15419 (2021) - [i2]Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR abs/2107.14742 (2021) - [i1]Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin:
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. CoRR abs/2108.13993 (2021)
Coauthor Index
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