Translating Numerical Concepts for PDEs into Neural Architectures. - Tobias Alt; Pascal Peter; Joachim Weickert; Karl Schrader (SSVM, 2021)

Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. - Tobias Alt; Karl Schrader; Joachim Weickert; Pascal Peter; Matthias Augustin 001 (CoRR, 2021)

CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. - Karl Schrader; Tobias Alt; Joachim Weickert; Michael Ertel (EUVIP, 2022)

Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. - Karl Schrader; Pascal Peter; Niklas Kämper; Joachim Weickert (SSVM, 2023)

Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations. - Karl Schrader; Joachim Weickert; Michael Krause 007 (CoRR, 2023)

Connections Between Numerical Algorithms for PDEs and Neural Networks. - Tobias Alt; Karl Schrader; Matthias Augustin 001; Pascal Peter; Joachim Weickert (J. Math. Imaging Vis., 2023)

Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. - Pascal Peter; Karl Schrader; Tobias Alt; Joachim Weickert (Pattern Anal. Appl., 2023)