Picture for Riccardo Barbano

Riccardo Barbano

Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research

Add code
Oct 01, 2024
Figure 1 for Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
Figure 2 for Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
Figure 3 for Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
Figure 4 for Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
Viaarxiv icon

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

Add code
Jun 03, 2024
Viaarxiv icon

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

Add code
Aug 28, 2023
Viaarxiv icon

Score-Based Generative Models for PET Image Reconstruction

Add code
Aug 27, 2023
Viaarxiv icon

SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

Add code
Mar 28, 2023
Viaarxiv icon

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces

Add code
Feb 20, 2023
Viaarxiv icon

Sampling-based inference for large linear models, with application to linearised Laplace

Add code
Oct 10, 2022
Figure 1 for Sampling-based inference for large linear models, with application to linearised Laplace
Figure 2 for Sampling-based inference for large linear models, with application to linearised Laplace
Figure 3 for Sampling-based inference for large linear models, with application to linearised Laplace
Figure 4 for Sampling-based inference for large linear models, with application to linearised Laplace
Viaarxiv icon

Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior

Add code
Jul 11, 2022
Figure 1 for Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior
Figure 2 for Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior
Figure 3 for Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior
Figure 4 for Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior
Viaarxiv icon

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

Add code
Jun 17, 2022
Figure 1 for Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Figure 2 for Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Figure 3 for Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Figure 4 for Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Viaarxiv icon

A Probabilistic Deep Image Prior for Computational Tomography

Add code
Feb 28, 2022
Figure 1 for A Probabilistic Deep Image Prior for Computational Tomography
Figure 2 for A Probabilistic Deep Image Prior for Computational Tomography
Figure 3 for A Probabilistic Deep Image Prior for Computational Tomography
Figure 4 for A Probabilistic Deep Image Prior for Computational Tomography
Viaarxiv icon