3 papers
cs.LG2025
Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design
Jacopo Iollo, Geoffroy Oudoumanessah, Carole Lartizien +2
A key challenge in maximizing the benefits of Magnetic Resonance Imaging (MRI) in clinical settings is to accelerate acquisition times without significantly degrading image quality…
stat.ML2024
Bayesian Experimental Design via Contrastive Diffusions
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez +1
Bayesian Optimal Experimental Design (BOED) is a powerful tool to reduce the cost of running a sequence of experiments. When based on the Expected Information Gain (EIG), design op…
stat.ML2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez +1
We propose a new procedure named PASOA, for Bayesian experimental design, that performs sequential design optimization by simultaneously providing accurate estimates of successive…