Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. - Tobias Alt; Joachim Weickert (ICASSP, 2020)

Translating Diffusion, Wavelets, and Regularisation into Residual Networks. - Tobias Alt; Joachim Weickert; Pascal Peter (CoRR, 2020)

Comment on "Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensor". - Marcus Schmidt; Tobias Alt; Kevin Nolte; Thomas Jaitner (Sensors, 2020)

Learning Integrodifferential Models for Image Denoising. - Tobias Alt; Joachim Weickert (ICASSP, 2021)

JPEG Meets PDE-based Image Compression. - Sarah Andris; Joachim Weickert; Tobias Alt; Pascal Peter (PCS, 2021)

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)

Learning Sparse Masks for Diffusion-Based Image Inpainting. - Tobias Alt; Pascal Peter; Joachim Weickert (IbPRIA, 2022)

Connecting mathematical models for image processing and neural networks. - Tobias Alt-Veit (2022)

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)

Generative AI Models: Opportunities and Risks for Industry and Authorities. - Tobias Alt; André Ibisch; Clemens Meiser; Anna Wilhelm; Raphael Zimmer; Christian Berghoff; Christoph Droste; Jens Karschau; Friederike Laus; Rainer Plaga; Carola Plesch; Britta Sennewald; et al. (CoRR, 2024)