Davide Bianchi

32 papers C 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards an optimal extraction of cosmological parameters from galaxy cluster surveys using convolutional neural networks. Astron. Comput. Iñigo Sáez-Casares, Matteo Calabrese, Davide Bianchi, Marina Silvia Cagliari, Marco Chiarenza, Jean Marc Christille, L. Guzzo
2025	J	`jnl`	A Data-Dependent Regularization Method Based on the Graph Laplacian. SIAM J. Sci. Comput. Davide Bianchi, Davide Evangelista, Stefano Aleotti, Marco Donatelli, Elena Loli Piccolomini, Wenbin Li
2025	J	`jnl`	Convergence analysis and parameter estimation for the iterated Arnoldi-Tikhonov method. Numerische Mathematik Davide Bianchi, Marco Donatelli, Davide Furchì, Lothar Reichel
2025	—	`conf`	LIP-CAR: A Learned Inverse Problem Approach for Medical Imaging with Contrast Agent Reduction. MICCAI (11) Davide Evangelista, Elena Morotti, Sonia Colombo Serra, Pengpeng Luo, Giovanni Valbusa, Davide Bianchi
2025	J	`jnl`	The iterated Golub-Kahan-Tikhonov method. CoRR Davide Bianchi, Marco Donatelli, Davide Furchì, Lothar Reichel
2025	J	`jnl`	Variable Projected Augmented Lagrangian Methods for Generalized Lasso Problems. CoRR Stefano Aleotti, Davide Bianchi, Florian Bossmann, Riley Yizhou Chen, Matthias Chung
2024	J	`jnl`	Asymptotic spectra of large (grid) graphs with a uniform local structure, Part II: Numerical applications. J. Comput. Appl. Math. Andrea Adriani, Davide Bianchi, Paola Ferrari, Stefano Serra-Capizzano
2024	J	`jnl`	Effectiveness of Management Zones Delineated from UAV and Sentinel-2 Data for Precision Viticulture Applications. Remote. Sens. Bianca Ortuani, Alice Mayer, Davide Bianchi, Giovanna Sona, Alberto Crema, Davide Modina, Martino Bolognini, Lucio Brancadoro, Mirco Boschetti, Arianna Facchi
2024	J	`jnl`	Improved impedance inversion by deep learning and iterated graph Laplacian. CoRR Davide Bianchi, Florian Bossmann, Wenlong Wang, Mingming Liu
2024	J	`jnl`	LIP-CAR: contrast agent reduction by a deep learned inverse problem. CoRR Davide Bianchi, Sonia Colombo Serra, Davide Evangelista, Pengpeng Luo, Elena Morotti, Giovanni Valbusa
2023	J	`jnl`	A data-dependent regularization method based on the graph Laplacian. CoRR Davide Bianchi, Davide Evangelista, Stefano Aleotti, Marco Donatelli, Elena Loli Piccolomini, Wenbin Li
2023	J	`jnl`	Convergence analysis and parameter estimation for the iterated Arnoldi-Tikhonov method. CoRR Davide Bianchi, Marco Donatelli, Davide Furchì, Lothar Reichel
2023	—	`conf`	Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. SSVM Davide Bianchi, Marco Donatelli, Davide Evangelista, Wenbin Li, Elena Loli Piccolomini
2022	J	`jnl`	Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method. CoRR Davide Bianchi, Guanghao Lai, Wenbin Li
2021	J	`jnl`	Asymptotic spectra of large (grid) graphs with a uniform local structure (part II): numerical applications. CoRR Andrea Adriani, Davide Bianchi, Paola Ferrari, Stefano Serra-Capizzano
2021	J	`jnl`	Compatibility, embedding and regularization of non-local random walks on graphs. CoRR Davide Bianchi, Marco Donatelli, Fabio Durastante, Mariarosa Mazza
2021	J	`jnl`	Constructive approach to the monotone rearrangement of functions. CoRR Giovanni Barbarino, Davide Bianchi, Carlo Garoni
2021	J	`jnl`	Graph Laplacian for image deblurring. CoRR Davide Bianchi, Alessandro Buccini, Marco Donatelli, Emma Randazzo
2021	—	`conf`	Graph approximation and generalized Tikhonov regularization for signal deblurring. ICCSA (Workshops) Davide Bianchi, Marco Donatelli
2021	J	`jnl`	Graph approximation and generalized Tikhonov regularization for signal deblurring. CoRR Davide Bianchi, Marco Donatelli
2020	J	`jnl`	Analysis of the spectral symbol associated to discretization schemes of linear self-adjoint differential operators. CoRR Davide Bianchi
2020	J	`jnl`	Asymptotic spectra of large (grid) graphs with a uniform local structure. CoRR Andrea Adriani, Davide Bianchi, Stefano Serra-Capizzano
2020	J	`jnl`	Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring. CoRR Davide Bianchi, Alessandro Buccini
2019	J	`jnl`	Analysis of the spectral symbol function for spectral approximation of a differential operator. CoRR Davide Bianchi
2017	C	`conf`	A Bibliometric Framework to Identify and Delineate Subfields of Research on Tribological Wear - Part One: Can We Identify Fundamental Issues by Clusters of Similar Journals? ISI Edgar Schiebel, Davide Bianchi, András Vernes
2017	J	`jnl`	Methods for atomistic abrasion simulations of laterally periodic polycrystalline substrates with fractal surfaces. Comput. Phys. Commun. Stefan J. Eder, Davide Bianchi, Ulrike Cihak-Bayr, Konstantinos Gkagkas
2016	J	`jnl`	Impedance-Sensing CMOS Chip for Noninvasive Light Detection in Integrated Photonics. IEEE Trans. Circuits Syst. II Express Briefs Pietro Ciccarella, Marco Carminati, Giorgio Ferrari, Davide Bianchi, Stefano Grillanda, Francesco Morichetti, Andrea Melloni, Marco Sampietro
2016	J	`jnl`	Regularization Preconditioners for Frame-Based Image Deblurring with Reduced Boundary Artifacts. SIAM J. Sci. Comput. Yuantao Cai, Marco Donatelli, Davide Bianchi, Ting-Zhu Huang
2014	—	`conf`	17.4 CMOS impedance analyzer for nanosamples investigation operating up to 150MHz with Sub-aF resolution. ISSCC Giorgio Ferrari, Davide Bianchi, Angelo Rottigni, Marco Sampietro
2014	J	`jnl`	An analysis method for atomistic abrasion simulations featuring rough surfaces and multiple abrasive particles. Comput. Phys. Commun. Stefan J. Eder, Davide Bianchi, Ulrike Cihak-Bayr, András Vernes, Gerhard Betz
2014	J	`jnl`	CMOS Impedance Analyzer for Nanosamples Investigation Operating up to 150 MHz With Sub-aF Resolution. IEEE J. Solid State Circuits Davide Bianchi, Giorgio Ferrari, Angelo Rottigni, Marco Sampietro
2014	—	`—`	Integrated instrumentation for high sensitivity impedance measurements on nanosamples. Davide Bianchi