Follow
Fabian Altekrüger
Fabian Altekrüger
Verified email at hu-berlin.de - Homepage
Title
Cited by
Cited by
Year
PatchNR: learning from very few images by patch normalizing flow regularization
F Altekrüger, A Denker, P Hagemann, J Hertrich, P Maass, G Steidl
Inverse Problems 39 (6), 064006, 2023
34*2023
Posterior sampling based on gradient flows of the MMD with negative distance kernel
P Hagemann, J Hertrich, F Altekrüger, R Beinert, J Chemseddine, G Steidl
International Conference on Learning Representations (ICLR) 2024, 2024
222024
WPPNets and WPPFlows: The power of Wasserstein patch priors for superresolution
F Altekrüger, J Hertrich
SIAM Journal on Imaging Sciences 16 (3), 1033-1067, 2023
192023
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
F Altekrüger, J Hertrich, G Steidl
International Conference on Machine Learning (ICML) 2023, 2023
19*2023
Generative sliced MMD flows with Riesz kernels
J Hertrich, C Wald, F Altekrüger, P Hagemann
International Conference on Learning Representations (ICLR) 2024, 2024
182024
Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling
A Kofler, F Altekrüger, F Antarou Ba, C Kolbitsch, E Papoutsellis, D Schote, ...
SIAM Journal on Imaging Sciences 16 (4), 2202-2246, 2023
162023
Conditional generative models are provably robust: Pointwise guarantees for bayesian inverse problems
F Altekrüger, P Hagemann, G Steidl
Transactions on Machine Learning Research (TMLR), 2023
122023
Learning from small data sets: Patch‐based regularizers in inverse problems for image reconstruction
M Piening, F Altekrüger, J Hertrich, P Hagemann, A Walther, G Steidl
GAMM‐Mitteilungen 47 (4), e202470002, 2024
42024
Stability of Data-Dependent Ridge-Regularization for Inverse Problems
S Neumayer, F Altekrüger
arXiv preprint arXiv:2406.12289, 2024
22024
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI
M Piening, F Altekrüger, G Steidl, E Hattingen, E Steidl
arXiv preprint arXiv:2410.08894, 2024
2024
Solving Bayesian inverse problems using neural networks
F Altekrüger
2024
The system can't perform the operation now. Try again later.
Articles 1–11