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Paul Hagemann
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 14
Top Topics
Infinite Dimensional
Proximal Femur
Diffusion Models
Markov Chain
Top Venues
CoRR
SSVM
SIAM/ASA J. Uncertain. Quantification
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Publications
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Paul Hagemann
,
Johannes Hertrich
,
Maren Casfor
,
Sebastian Heidenreich
,
Gabriele Steidl
Mixed Noise and Posterior Estimation with Conditional DeepGEM.
CoRR
(2024)
Fabian Altekrüger
,
Paul Hagemann
,
Gabriele Steidl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems.
CoRR
(2023)
Johannes Hertrich
,
Christian Wald
,
Fabian Altekrüger
,
Paul Hagemann
Generative Sliced MMD Flows with Riesz Kernels.
CoRR
(2023)
Jannis Chemseddine
,
Paul Hagemann
,
Christian Wald
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances.
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)
Paul Hagemann
,
Lars Ruthotto
,
Gabriele Steidl
,
Nicole Tianjiao Yang
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation.
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)
Paul Hagemann
,
Johannes Hertrich
,
Gabriele Steidl
Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint.
SIAM/ASA J. Uncertain. Quantification
10 (1) (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)
Anna Andrle
,
Nando Farchmin
,
Paul Hagemann
,
Sebastian Heidenreich
,
Victor Soltwisch
,
Gabriele Steidl
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.
CoRR
(2021)
Paul Hagemann
,
Johannes Hertrich
,
Gabriele Steidl
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint.
CoRR
(2021)
Johannes Hertrich
,
Paul Hagemann
,
Gabriele Steidl
A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains.
CoRR
(2021)
Anna Andrle
,
Nando Farchmin
,
Paul Hagemann
,
Sebastian Heidenreich
,
Victor Soltwisch
,
Gabriele Steidl
Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.
SSVM
(2021)
Paul Hagemann
,
Sebastian Neumayer
Stabilizing Invertible Neural Networks Using Mixture Models.
CoRR
(2020)