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Emanuele Naldi
Emanuele Naldi
PhD student, TU Braunschweig
Email verificata su edu.unige.it - Home page
Titolo
Citata da
Citata da
Anno
Degenerate preconditioned proximal point algorithms
K Bredies, E Chenchene, DA Lorenz, E Naldi
SIAM Journal on Optimization 32 (3), 2376-2401, 2022
272022
Graph and distributed extensions of the Douglas–Rachford method
K Bredies, E Chenchene, E Naldi
SIAM Journal on Optimization 34 (2), 1569-1594, 2024
102024
Weak topology and Opial property in Wasserstein spaces, with applications to gradient flows and proximal point algorithms of geodesically convex functionals
E Naldi, G Savaré
arXiv preprint arXiv:2104.06121, 2021
82021
On extreme points and representer theorems for the Lipschitz unit ball on finite metric spaces
K Bredies, JC Rodriguez, E Naldi
Archiv der Mathematik 122 (6), 651-658, 2024
42024
In vivo myelin water quantification using diffusion–relaxation correlation MRI: A comparison of 1D and 2D methods
S Endt, M Engel, E Naldi, R Assereto, M Molendowska, L Mueller, ...
Applied Magnetic Resonance 54 (11), 1571-1588, 2023
32023
A Lipschitz spaces view of infinitely wide shallow neural networks
F Bartolucci, M Carioni, JA Iglesias, Y Korolev, E Naldi, S Vigogna
arXiv preprint arXiv:2410.14591, 2024
2024
Learning Firmly Nonexpansive Operators
K Bredies, J Chirinos-Rodriguez, E Naldi
arXiv preprint arXiv:2407.14156, 2024
2024
A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods
MM Alves, DA Lorenz, E Naldi
arXiv preprint arXiv:2407.05893, 2024
2024
A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods
M Marques Alves, DA Lorenz, E Naldi
arXiv e-prints, arXiv: 2407.05893, 2024
2024
The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford
DA Lorenz, J Marquardt, E Naldi
Optimization, 1-27, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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