Nonlinear microscale interactions in the kinetic theory of active particles. - Alessandro Benfenati; Vincenzo Coscia (Appl. Math. Lett., 2013)

Primal-dual first order methods for total variation image restoration in presence of poisson noise. - Silvia Bonettini; Alessandro Benfenati; Valeria Ruggiero (ICIP, 2014)

Inexact Bregman iteration for deconvolution of superimposed extended and point sources. - Alessandro Benfenati; Valeria Ruggiero (Commun. Nonlinear Sci. Numer. Simul., 2015)

Reprint of Inexact Bregman iteration for deconvolution of superimposed extended and point sources. - Alessandro Benfenati; Valeria Ruggiero (Commun. Nonlinear Sci. Numer. Simul., 2015)

Numerical Methods for Parameter Estimation in Poisson Data Inversion. - Luca Zanni; Alessandro Benfenati; Mario Bertero; Valeria Ruggiero (J. Math. Imaging Vis., 2015)

Scaling Techniques for ε-Subgradient Methods. - Silvia Bonettini; Alessandro Benfenati; Valeria Ruggiero (SIAM J. Optim., 2016)

A Nonconvex Variational Approach for Robust Graphical Lasso. - Alessandro Benfenati; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2018)

Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy. - Élodie Puybareau; Edwin Carlinet; Alessandro Benfenati; Hugues Talbot (ISMM, 2019)

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. - Alessandro Benfenati; Emilie Chouzenoux; Jean-Christophe Pesquet (Signal Process., 2020)

A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves. - Alessandro Benfenati; Davide Bolzi; Paola Causin; Roberto Oberti (CoRR, 2021)

A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography. - Alessandro Benfenati; Giuseppe Bisazza; Paola Causin (CoRR, 2021)

Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging. - Alessandro Benfenati; Paola Causin; Roberto Oberti; Giovanni Stefanello (CoRR, 2021)

A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances. - Giacomo Aletti; Alessandro Benfenati; Giovanni Naldi (J. Imaging, 2021)

A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation. - Giacomo Aletti; Alessandro Benfenati; Giovanni Naldi (J. Imaging, 2021)

Efficient Position Estimation of 3D Fluorescent Spherical Beads in Confocal Microscopy via Poisson Denoising. - Alessandro Benfenati; Francesco Bonacci; Tarik Bourouina; Hugues Talbot (J. Math. Imaging Vis., 2021)

upU-Net Approaches for Background Emission Removal in Fluorescence Microscopy. - Alessandro Benfenati (J. Imaging, 2022)

Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. - Alessandro Benfenati; Ambra Catozzi; Giorgia Franchini; Federica Porta (SSVM, 2023)

Majorization-Minimization for sparse SVMs. - Alessandro Benfenati; Emilie Chouzenoux; Giorgia Franchini; Salla Latva-Aijo; Dominik Narnhofer; Jean-Christophe Pesquet; Sebastian J. Scott; Mahsa Yousefi (CoRR, 2023)

A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations. - Alessandro Benfenati; Alessio Marta (Neural Networks, 2023)

A singular Riemannian geometry approach to deep neural networks II. Reconstruction of 1-D equivalence classes. - Alessandro Benfenati; Alessio Marta (Neural Networks, 2023)

A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction. - Alessandro Benfenati; Paola Causin; Martina Quinteri (CoRR, 2024)

A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on n-dimensional Classes. - Alessandro Benfenati; Alessio Marta (CoRR, 2024)

Unveiling Transformer Perception by Exploring Input Manifolds. - Alessandro Benfenati; Alfio Ferrara; Alessio Marta; Davide Riva; Elisabetta Rocchetti (CoRR, 2024)

Constrained Regularization by Denoising With Automatic Parameter Selection. - Pasquale Cascarano; Alessandro Benfenati; Ulugbek S. Kamilov; Xiaojian Xu 002 (IEEE Signal Process. Lett., 2024)

Constrained Plug-and-Play Priors for Image Restoration. - Alessandro Benfenati; Pasquale Cascarano (J. Imaging, 2024)

RELD: Regularization by Latent Diffusion Models for Image Restoration. - Pasquale Cascarano; Lorenzo Stacchio; Andrea Sebastiani; Alessandro Benfenati; Ulugbek S. Kamilov; Gustavo Marfia (CoRR, 2025)

Early stopping strategies in Deep Image Prior. - Alessandro Benfenati; Ambra Catozzi; Giorgia Franchini; Federica Porta (Soft Comput., 2025)

Plug and Play Splitting Techniques for Poisson Image Restoration. - Alessandro Benfenati (CoRR, 2025)