Barbano, Riccardo

1. DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transform
   2024/06/03 by Denker, Alexander, Vargas, Francisco, Padhy, Shreyas +7 · 11 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
   2023/08/28 by Riccardo Barbano, Barbano, Riccardo, Alexander Denker +12 · 7 citations
   Mathematics · Medicine · Computer Science · #Numerical methods in inverse problems #Radiomics and Machine Learning in Medical Imaging #Image and Signal Denoising Methods
3. Conditional Variational Autoencoder for Learned Image Reconstruction
   2021/10/22 by Zhang, Chen, Barbano, Riccardo, Jin, Bangti · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA)
4. Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
   2024/10/01 by Víctor Sabanza-Gil, Sabanza-Gil, Víctor, Riccardo Barbano +11 · 3 citations
   Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
5. Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
   2022/06/17 by Javier Antorán, David M. Janz, Antorán, Javier +11 · 2 citations
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
6. Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent
   2020/07/20 by Barbano, Riccardo, Zhang, Chen, Arridge, Simon +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering