Alexander Denker

According to our database, Alexander Denker authored at least 28 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

A Stability Benchmark of Generative Regularizers for Inverse Problems.

Alexander Denker, Johannes Hertrich, Sebastian Neumayer

CoRR, May, 2026

GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular Domains.

James Rowbottom, Elizabeth Louise Baker, Nick Huang, Ben Adcock, Carola-Bibiane Schönlieb, Alexander Denker

CoRR, May, 2026

CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control.

Riccardo Barbano, Alexander Denker, Zeljko Kereta, Runchang Li, Francisco Vargas

CoRR, February, 2026

Trajectory Stitching for Solving Inverse Problems with Flow-Based Models.

Alexander Denker, Moshe Eliasof, Zeljko Kereta, Carola-Bibiane Schönlieb

CoRR, February, 2026

Solving Inverse Problems with Flow-based Models via Model Predictive Control.

George Webber, Alexander Denker, Riccardo Barbano, Andrew J. Reader

CoRR, January, 2026

Supervised Guidance Training for Infinite-Dimensional Diffusion Models.

Elizabeth Louise Baker, Alexander Denker, Jes Frellsen

CoRR, January, 2026

2025

Graph Neural Regularizers for PDE Inverse Problems.

William Lauga, James Rowbottom, Alexander Denker, Zeljko Kereta, Moshe Eliasof, Carola-Bibiane Schönlieb

CoRR, October, 2025

Learning Regularization Functionals for Inverse Problems: A Comparative Study.

Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer

CoRR, October, 2025

Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation.

Serban Cristian Tudosie, Alexander Denker, Zeljko Kereta, Simon R. Arridge

CoRR, August, 2025

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction.

Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon R. Arridge, Peter Maass, Bangti Jin, Jong Chul Ye

IEEE Trans. Medical Imaging, May, 2025

Iterative Importance Fine-tuning of Diffusion Models.

Alexander Denker, Shreyas Padhy, Francisco Vargas, Johannes Hertrich

CoRR, February, 2025

Plug-and-Play Half-Quadratic Splitting for Ptychography.

Alexander Denker, Johannes Hertrich, Zeljko Kereta, Silvia Cipiccia, Ecem Erin, Simon R. Arridge

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2024

Invertible neural networks and normalizing flows for image reconstruction.

Alexander Denker

PhD thesis, 2024

Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data.

Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge

CoRR, 2024

DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform.

Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

CoRR, 2024

Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems.

Pascal Fernsel, Zeljko Kereta, Alexander Denker

CoRR, 2024

DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform.

Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Riccardo Barbano, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lió

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation.

Pascal Fernsel, Zeljko Kereta, Alexander Denker

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems.

Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye

CoRR, 2023

Score-Based Generative Models for PET Image Reconstruction.

Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge

CoRR, 2023

Invertible residual networks in the context of regularization theory for linear inverse problems.

Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel

CoRR, 2023

2022

An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction.

Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin

IEEE Trans. Computational Imaging, 2022

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

Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl

CoRR, 2022

2021

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.

Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten

J. Imaging, 2021

Conditional Invertible Neural Networks for Medical Imaging.

Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass

J. Imaging, 2021

Is Deep Image Prior in Need of a Good Education?

Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin

CoRR, 2021

Feature reduction for machine learning on molecular features: The GeneScore.

Alexander Denker, Anastasia Steshina, Theresa Grooss, Frank Ueckert, Sylvia Nürnberg

CoRR, 2021

2014

Personalized visual aesthetics.

Edward A. Vessel, Jonathan Stahl, Natalia Maurer, Alexander Denker, G. Gabrielle Starr

Proceedings of the Human Vision and Electronic Imaging XIX, 2014