Fabian Altekrüger

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Regularization Parameter

Image Reconstruction

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

Publications

Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann
Generative Sliced MMD Flows with Riesz Kernels. ICLR (2024)
Sebastian Neumayer, Fabian Altekrüger
Stability of Data-Dependent Ridge-Regularization for Inverse Problems. CoRR (2024)
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. ICLR (2024)
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. ICML (2023)
Fabian Altekrüger, Johannes Hertrich
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution. SIAM J. Imaging Sci. 16 (3) (2023)
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. CoRR (2023)
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. Trans. Mach. Learn. Res. 2023 (2023)
Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. SIAM J. Imaging Sci. 16 (4) (2023)
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. CoRR (2023)
Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann
Generative Sliced MMD Flows with Riesz Kernels. CoRR (2023)
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. CoRR (2023)
Moritz Piening, Fabian Altekrüger, Johannes Hertrich, Paul Hagemann, Andrea Walther, Gabriele Steidl
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction. CoRR (2023)
Fabian Altekrüger, Johannes Hertrich
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution. CoRR (2022)
Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR (2022)