Barbano, Riccardo

6 publications

NeurIPSW 2024 Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research Victor Sabanza Gil, Riccardo Barbano, Daniel Pacheco Gutiérrez, Jeremy Scott Luterbacher, José Miguel Hernández-Lobato, Philippe Schwaller, Loïc Roch

NeurIPS 2024 DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-Transform Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

TMLR 2024 Image Reconstruction via Deep Image Prior Subspaces Riccardo Barbano, Javier Antoran, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin, Zeljko Kereta

ICLR 2023 Sampling-Based Inference for Large Linear Models, with Application to Linearised Laplace Javier Antoran, Shreyas Padhy, Riccardo Barbano, Eric Nalisnick, David Janz, José Miguel Hernández-Lobato

TMLR 2023 Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior Javier Antoran, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin

NeurIPSW 2020 Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin