Fabian Altekrüger

Orcid: 0000-0002-9628-4735

According to our database1, Fabian Altekrüger authored at least 10 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling.
SIAM J. Imaging Sci., December, 2023

WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.
SIAM J. Imaging Sci., September, 2023

Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction.
CoRR, 2023

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
CoRR, 2023

Generative Sliced MMD Flows with Riesz Kernels.
CoRR, 2023

Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems.
CoRR, 2023

Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels.
CoRR, 2023

Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels.
Proceedings of the International Conference on Machine Learning, 2023

2022
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization.
CoRR, 2022

WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution.
CoRR, 2022


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