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2020 – today
- 2024
[c3]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- [c2]Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann:
Generative Sliced MMD Flows with Riesz Kernels. ICLR 2024 - [i8]Sebastian Neumayer, Fabian Altekrüger:
Stability of Data-Dependent Ridge-Regularization for Inverse Problems. CoRR abs/2406.12289 (2024) - 2023
- [j3]Fabian Altekrüger
, Johannes Hertrich:
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution. SIAM J. Imaging Sci. 16(3): 1033-1067 (2023) - [j2]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): 2202-2246 (2023) - [j1]Fabian Altekrüger, Paul Hagemann, Gabriele Steidl:
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. Trans. Mach. Learn. Res. 2023 (2023) - [c1]Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl:
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. ICML 2023: 664-690 - [i7]Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl:
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. CoRR abs/2301.11624 (2023) - [i6]Fabian Altekrüger, Paul Hagemann, Gabriele Steidl:
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. CoRR abs/2303.15845 (2023) - [i5]Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann:
Generative Sliced MMD Flows with Riesz Kernels. CoRR abs/2305.11463 (2023) - [i4]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 abs/2310.03054 (2023) - [i3]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 abs/2312.16611 (2023) - 2022
- [i2]Fabian Altekrüger, Johannes Hertrich:
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution. CoRR abs/2201.08157 (2022) - [i1]Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl:
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR abs/2205.12021 (2022)
Coauthor Index
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