Alessandro Benfenati

32 papers B 1C 1Misc 1Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Early stopping strategies in Deep Image Prior. Soft Comput. Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
2025	J	`jnl`	Plug and Play Splitting Techniques for Poisson Image Restoration. CoRR Alessandro Benfenati
2025	J	`jnl`	Plug and Play Splitting Techniques for Poisson Image Restoration. J. Math. Imaging Vis. Alessandro Benfenati
2025	J	`jnl`	RELD: Regularization by Latent Diffusion Models for Image Restoration. CoRR Pasquale Cascarano, Lorenzo Stacchio, Andrea Sebastiani, Alessandro Benfenati, Ulugbek S. Kamilov, Gustavo Marfia
2025	J	`jnl`	Variational Image Regularisation in the Era of Deep Learning: From Model-Based to Deep Priors and Back. J. Math. Imaging Vis. Alessandro Benfenati, Luca Calatroni, Pasquale Cascarano, Nelly Pustelnik, Audrey Repetti, Yu Sun
2024	J	`jnl`	A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction. CoRR Alessandro Benfenati, Paola Causin, Martina Quinteri
2024	J	`jnl`	A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on CoRR Alessandro Benfenati, Alessio Marta
2024	J	`jnl`	Constrained Plug-and-Play Priors for Image Restoration. J. Imaging Alessandro Benfenati, Pasquale Cascarano
2024	J	`jnl`	Constrained Regularization by Denoising With Automatic Parameter Selection. IEEE Signal Process. Lett. Pasquale Cascarano, Alessandro Benfenati, Ulugbek S. Kamilov, Xiaojian Xu
2024	J	`jnl`	Unveiling Transformer Perception by Exploring Input Manifolds. CoRR Alessandro Benfenati, Alfio Ferrara, Alessio Marta, Davide Riva, Elisabetta Rocchetti
2023	J	`jnl`	A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations. Neural Networks Alessandro Benfenati, Alessio Marta
2023	J	`jnl`	A singular Riemannian geometry approach to deep neural networks II. Reconstruction of 1-D equivalence classes. Neural Networks Alessandro Benfenati, Alessio Marta
2023	J	`jnl`	Majorization-Minimization for sparse SVMs. CoRR Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
2023	—	`conf`	Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. SSVM Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
2022	J	`jnl`	A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations. CoRR Alessandro Benfenati, Alessio Marta
2022	J	`jnl`	upU-Net Approaches for Background Emission Removal in Fluorescence Microscopy. J. Imaging Alessandro Benfenati
2021	J	`jnl`	A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves. CoRR Alessandro Benfenati, Davide Bolzi, Paola Causin, Roberto Oberti
2021	J	`jnl`	A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography. CoRR Alessandro Benfenati, Giuseppe Bisazza, Paola Causin
2021	J	`jnl`	A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation. J. Imaging Giacomo Aletti, Alessandro Benfenati, Giovanni Naldi
2021	J	`jnl`	A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances. J. Imaging Giacomo Aletti, Alessandro Benfenati, Giovanni Naldi
2021	J	`jnl`	A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes. CoRR Alessandro Benfenati, Alessio Marta
2021	J	`jnl`	Efficient Position Estimation of 3D Fluorescent Spherical Beads in Confocal Microscopy via Poisson Denoising. J. Math. Imaging Vis. Alessandro Benfenati, Francesco Bonacci, Tarik Bourouina, Hugues Talbot
2021	J	`jnl`	Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging. CoRR Alessandro Benfenati, Paola Causin, Roberto Oberti, Giovanni Stefanello
2020	J	`jnl`	Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. Signal Process. Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet
2019	C	`conf`	Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy. ISMM Élodie Puybareau, Edwin Carlinet, Alessandro Benfenati, Hugues Talbot
2018	Misc	`conf`	A Nonconvex Variational Approach for Robust Graphical Lasso. ICASSP Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet
2016	J	`jnl`	Scaling Techniques for ε-Subgradient Methods. SIAM J. Optim. Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero
2015	J	`jnl`	Inexact Bregman iteration for deconvolution of superimposed extended and point sources. Commun. Nonlinear Sci. Numer. Simul. Alessandro Benfenati, Valeria Ruggiero
2015	J	`jnl`	Numerical Methods for Parameter Estimation in Poisson Data Inversion. J. Math. Imaging Vis. Luca Zanni, Alessandro Benfenati, Mario Bertero, Valeria Ruggiero
2015	J	`jnl`	Reprint of Inexact Bregman iteration for deconvolution of superimposed extended and point sources. Commun. Nonlinear Sci. Numer. Simul. Alessandro Benfenati, Valeria Ruggiero
2014	B	`conf`	Primal-dual first order methods for total variation image restoration in presence of poisson noise. ICIP Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero
2013	J	`jnl`	Nonlinear microscale interactions in the kinetic theory of active particles. Appl. Math. Lett. Alessandro Benfenati, Vincenzo Coscia