Scholar
Riccardo Barbano
Google Scholar ID: 6jYGiC0AAAAJ
University College London
Bayesian Machine Learning
Inverse Problems in Imaging
Medical Imaging
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Citations & Impact
All-time
Citations
372
H-index
12
i10-index
14
Publications
20
Co-authors
12
list available
Publications
6 items
One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control
2026
Cited
0
CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control
2026
Cited
0
Solving Inverse Problems with Flow-based Models via Model Predictive Control
2026
Cited
0
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
arXiv.org · 2024
Cited
1
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
Neural Information Processing Systems · 2024
Cited
6
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
IEEE Transactions on Medical Imaging · 2023
Cited
0
Co-authors
9 total
Bangti Jin
Department of Mathematics, The Chinese University of Hong Kong
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Simon ARRIDGE
University College London
Alexander Denker
University College London
Andreas Hauptmann
Academy Research Fellow & Associate Professor, University of Oulu
Chen Zhang
Unknown affiliation
Eric Nalisnick
Assistant Professor, Johns Hopkins University
Hyungjin Chung
Lead AI Research Scientist, EverEx
