Fabian Altekrüger

16 papers A* 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Conditional Generative Models for Contrast-Enhanced Synthesis of T1W and T1 Maps in Brain MRI.
ISBI
Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl
2024 J jnl
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI.
CoRR
Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl
2024 A* conf
Generative Sliced MMD Flows with Riesz Kernels.
ICLR
Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann
2024 A* conf
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
ICLR
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
2024 J jnl
Stability of Data-Dependent Ridge-Regularization for Inverse Problems.
CoRR
Sebastian Neumayer, Fabian Altekrüger
2023 J jnl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems.
CoRR
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
2023 J jnl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems.
Trans. Mach. Learn. Res.
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
2023 J jnl
Generative Sliced MMD Flows with Riesz Kernels.
CoRR
Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann
2023 J jnl
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling.
SIAM J. Imaging Sci.
Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros
2023 J jnl
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction.
CoRR
Moritz Piening, Fabian Altekrüger, Johannes Hertrich, Paul Hagemann, Andrea Walther, Gabriele Steidl
2023 A* conf
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels.
ICML
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
2023 J jnl
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels.
CoRR
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
2023 J jnl
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
CoRR
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
2023 J jnl
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.
SIAM J. Imaging Sci.
Fabian Altekrüger, Johannes Hertrich
2022 J jnl
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization.
CoRR
Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
2022 J jnl
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution.
CoRR
Fabian Altekrüger, Johannes Hertrich