A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on <i>n</i>-dimensional Classes.

[BibT_eX]

[DOI]

Alessandro Benfenati

Alessio Marta

CoRR, 2024

A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction.

[BibT_eX]

[DOI]

Alessandro Benfenati

Paola Causin

Martina Quinteri

CoRR, 2024

2023

A singular Riemannian geometry approach to deep neural networks II. Reconstruction of 1-D equivalence classes.

[BibT_eX]

[DOI]

Alessandro Benfenati

Alessio Marta

Neural Networks, January, 2023

A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations.

[BibT_eX]

[DOI]

Alessandro Benfenati

Alessio Marta

Neural Networks, January, 2023

Majorization-Minimization for sparse SVMs.

[BibT_eX]

[DOI]

Jean-Christophe Pesquet

Sebastian J. Scott

Mahsa Yousefi

CoRR, 2023

Piece-wise Constant Image Segmentation with a Deep Image Prior Approach.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

upU-Net Approaches for Background Emission Removal in Fluorescence Microscopy.

[BibT_eX]

[DOI]

Alessandro Benfenati

J. Imaging, 2022

2021

Efficient Position Estimation of 3D Fluorescent Spherical Beads in Confocal Microscopy via Poisson Denoising.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation.

[BibT_eX]

[DOI]

Giacomo Aletti

Alessandro Benfenati

Giovanni Naldi

J. Imaging, 2021

A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances.

[BibT_eX]

[DOI]

Giacomo Aletti

Alessandro Benfenati

Giovanni Naldi

J. Imaging, 2021

Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging.

[BibT_eX]

[DOI]

CoRR, 2021

A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography.

[BibT_eX]

[DOI]

Alessandro Benfenati

Giuseppe Bisazza

Paola Causin

CoRR, 2021

A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation.

[BibT_eX]

[DOI]

Alessandro Benfenati

Emilie Chouzenoux

Jean-Christophe Pesquet

Signal Process., 2020

2019

Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy.

[BibT_eX]

[DOI]

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

2018

A Nonconvex Variational Approach for Robust Graphical Lasso.

[BibT_eX]

[DOI]

Alessandro Benfenati

Emilie Chouzenoux

Jean-Christophe Pesquet

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Scaling Techniques for ε-Subgradient Methods.

[BibT_eX]

[DOI]

Silvia Bonettini

Alessandro Benfenati

Valeria Ruggiero

SIAM J. Optim., 2016

2015

Numerical Methods for Parameter Estimation in Poisson Data Inversion.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2015

Reprint of Inexact Bregman iteration for deconvolution of superimposed extended and point sources.

[BibT_eX]

[DOI]

Alessandro Benfenati

Valeria Ruggiero

Commun. Nonlinear Sci. Numer. Simul., 2015

Inexact Bregman iteration for deconvolution of superimposed extended and point sources.

[BibT_eX]

[DOI]

Alessandro Benfenati

Valeria Ruggiero

Commun. Nonlinear Sci. Numer. Simul., 2015

2014

Primal-dual first order methods for total variation image restoration in presence of poisson noise.

[BibT_eX]

[DOI]

Silvia Bonettini

Alessandro Benfenati

Valeria Ruggiero

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Nonlinear microscale interactions in the kinetic theory of active particles.

[BibT_eX]

[DOI]

Alessandro Benfenati

Vincenzo Coscia

Appl. Math. Lett., 2013

Alessandro Benfenati

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