Alexander Denker

27 papers A* 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control. CoRR Riccardo Barbano, Alexander Denker, Zeljko Kereta, Runchang Li, Francisco Vargas
2026	J	`jnl`	Solving Inverse Problems with Flow-based Models via Model Predictive Control. CoRR George Webber, Alexander Denker, Riccardo Barbano, Andrew J. Reader
2026	J	`jnl`	Supervised Guidance Training for Infinite-Dimensional Diffusion Models. CoRR Elizabeth Louise Baker, Alexander Denker, Jes Frellsen
2026	J	`jnl`	Trajectory Stitching for Solving Inverse Problems with Flow-Based Models. CoRR Alexander Denker, Moshe Eliasof, Zeljko Kereta, Carola-Bibiane Schönlieb
2025	J	`jnl`	Graph Neural Regularizers for PDE Inverse Problems. CoRR William Lauga, James Rowbottom, Alexander Denker, Zeljko Kereta, Moshe Eliasof, Carola-Bibiane Schönlieb
2025	J	`jnl`	Iterative Importance Fine-tuning of Diffusion Models. CoRR Alexander Denker, Shreyas Padhy, Francisco Vargas, Johannes Hertrich
2025	J	`jnl`	Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation. CoRR Serban Cristian Tudosie, Alexander Denker, Zeljko Kereta, Simon R. Arridge
2025	J	`jnl`	Learning Regularization Functionals for Inverse Problems: A Comparative Study. CoRR 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
2025	—	`conf`	Plug-and-Play Half-Quadratic Splitting for Ptychography. SSVM (1) Alexander Denker, Johannes Hertrich, Zeljko Kereta, Silvia Cipiccia, Ecem Erin, Simon R. Arridge
2025	J	`jnl`	Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. IEEE Trans. Medical Imaging Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon R. Arridge, Peter Maass, Bangti Jin, Jong Chul Ye
2024	—	`conf`	Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation. MLSP Pascal Fernsel, Zeljko Kereta, Alexander Denker
2024	J	`jnl`	Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems. CoRR Pascal Fernsel, Zeljko Kereta, Alexander Denker
2024	A*	`conf`	DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform. NeurIPS Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Riccardo Barbano, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lió
2024	J	`jnl`	DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform. CoRR Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
2024	J	`jnl`	Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
2024	—	`—`	Invertible neural networks and normalizing flows for image reconstruction. Alexander Denker
2024	J	`jnl`	Plug-and-Play Half-Quadratic Splitting for Ptychography. CoRR Alexander Denker, Johannes Hertrich, Zeljko Kereta, Silvia Cipiccia, Ecem Erin, Simon R. Arridge
2023	J	`jnl`	Invertible residual networks in the context of regularization theory for linear inverse problems. CoRR Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel
2023	J	`jnl`	Score-Based Generative Models for PET Image Reconstruction. CoRR Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge
2023	J	`jnl`	Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
2022	J	`jnl`	An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin
2022	J	`jnl`	PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
2021	J	`jnl`	Conditional Invertible Neural Networks for Medical Imaging. J. Imaging Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass
2021	J	`jnl`	Feature reduction for machine learning on molecular features: The GeneScore. CoRR Alexander Denker, Anastasia Steshina, Theresa Grooss, Frank Ueckert, Sylvia Nürnberg
2021	J	`jnl`	Is Deep Image Prior in Need of a Good Education? CoRR Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
2021	J	`jnl`	Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 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
2014	—	`conf`	Personalized visual aesthetics. Human Vision and Electronic Imaging Edward A. Vessel, Jonathan Stahl, Natalia Maurer, Alexander Denker, G. Gabrielle Starr