BENFENATI, ALESSANDRO
BENFENATI, ALESSANDRO
Dipartimento di Scienze e Politiche Ambientali
Unsupervised noisy image segmentation using deep image prior
2026 A. Benfenati, A. Catozzi, G. Franchini, F. Porta
Early stopping strategies in Deep Image Prior
2025 A. Benfenati, A. Catozzi, G. Franchini, F. Porta
Plug and Play Splitting Techniques for Poisson Image Restoration
2025 A. Benfenati
Variational Image Regularisation in the Era of Deep Learning: From Model-Based to Deep Priors and Back
2025 A. Benfenati, L. Calatroni, P. Cascarano, N. Pustelnik, A. Repetti, Y. Sun
Learnable Priors Support Reconstruction in Diffuse Optical Tomography
2025 A. Serianni, A. Benfenati, P. Causin
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
2025 A. Benfenati, P. Causin, M. Quinteri
Unveiling Transformer Perception by Exploring Input Manifolds
2024 A. Benfenati, A. Ferrara, A. Marta, D. Riva, E. Rocchetti
Advanced Techniques in Optimization for Machine Learning and Imaging
2024 A. Benfenati, F. Porta, T. Alessandra Bubba, M. Viola
Constrained Regularization by Denoising with Automatic Parameter Selection
2024 P. Cascarano, A. Benfenati, U.S. Kamilov, X. Xu
Water scarcity and consumer behavior: An analysis of diet-related water footprint
2024 E.N. Frola, A. Cavaliere, E. De Marchi, F. D'Alessandro, A. Benfenati, G. Aletti, A. Banterle
Mathematical and numerical challenges in diffuse optical tomography inverse problems
2024 A. Aspri, A. Benfenati, P. Causin, C. Cavaterra, G. Naldi
Majoration-Minimization for Sparse SVMs
2024 A. Benfenati, E. Chouzenoux, G. Franchini, S. Latva-Äijö, D. Narnhofer, J. Pesquet, S. J. Scott, M. Yousefi
Constrained Plug-and-Play Priors for Image Restoration
2024 A. Benfenati, P. Cascarano
Exploring the environmental impact associated with the abandonment of the Mediterranean diet, and how to reduce it with alternative sustainable diets
2023 A. Cavaliere, E. De Marchi, E.N. Frola, A. Benfenati, G. Aletti, J. Bacenetti, A. Banterle
Neural blind deconvolution with Poisson data
2023 A. Benfenati, A. Catozzi, V. Ruggiero
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations
2023 A. Benfenati, A. Marta
A singular Riemannian geometry approach to deep neural networks II. reconstruction of 1-D equivalence classes
2023 A. Benfenati, A. Marta
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach
2023 A. Benfenati, A. Catozzi, G. Franchini, F. Porta
Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images
2023 A. Benfenati, P. Causin, R. Oberti, G. Stefanello
Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
2022 A. Benfenati, G. Borghi, L. Pareschi