Alexander Denker
Scholar

Alexander Denker

Google Scholar ID: j5NT9kAAAAAJ
University College London
inverse problemsdeep learninggenerative modeling
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Citations & Impact
All-time
Citations
346
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
0
 
Contact
Emailmaths4dl@bath.ac.ukLinkedInOpen ↗
Publications
13 items
One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control
2026
Cited
0
A Stability Benchmark of Generative Regularizers for Inverse Problems
2026
Cited
0
GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular Domains
2026
Cited
0
CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control
2026
Cited
0
Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
2026
Cited
0
Solving Inverse Problems with Flow-based Models via Model Predictive Control
2026
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0
Supervised Guidance Training for Infinite-Dimensional Diffusion Models
2026
Cited
0
Graph Neural Regularizers for PDE Inverse Problems
2025
Cited
0
Resume
Research Experience
  • Currently a Post Doctoral Research Associate in the Department of Computer Science at University College London. During his PhD, he worked on the application of generative models to inverse problems in imaging.
Education
  • PhD from the University of Bremen, supervised by Peter Maass.
Background
  • Research interests include generative modeling, in particular normalising flows and diffusion models, image reconstruction, and machine learning.