Engineering a long distance free-space quantum channel. - Roberto Corvaja; Ivan Capraro; Alberto Dall'Arche; Nicola Dalla Pozza; Francesca Gerlin; Andrea Tomaello; Mattia Zorzi; Antonio Assalini; Augusto Ferrante; Gianfranco L. Pierobon; Francesco Ticozzi; Giuseppe Vallone; et al. (ISABEL, 2011)

Estimation of quantum channels: Identifiability and ML methods. - Mattia Zorzi; Francesco Ticozzi; Augusto Ferrante (CDC, 2012)

On the estimation of structured covariance matrices. - Mattia Zorzi; Augusto Ferrante (Autom., 2012)

A Maximum Entropy Enhancement for a Family of High-Resolution Spectral Estimators. - Augusto Ferrante; Michele Pavon; Mattia Zorzi (IEEE Trans. Autom. Control., 2012)

Rational approximations of spectral densities based on the Alpha divergence. - Mattia Zorzi (Math. Control. Signals Syst., 2014)

Minimal resources identifiability and estimation of quantum channels. - Mattia Zorzi; Francesco Ticozzi; Augusto Ferrante (Quantum Inf. Process., 2014)

A New Family of High-Resolution Multivariate Spectral Estimators. - Mattia Zorzi (IEEE Trans. Autom. Control., 2014)

Minimum Relative Entropy for Quantum Estimation: Feasibility and General Solution. - Mattia Zorzi; Francesco Ticozzi; Augusto Ferrante (IEEE Trans. Inf. Theory, 2014)

A new recursive least squares method with multiple forgetting schemes. - Francesco Fraccaroli; Andrea Peruffo; Mattia Zorzi (CDC, 2015)

Sparse plus low-rank autoregressive identification in neuroimaging time series. - Raphaël Liégeois; Bamdev Mishra; Mattia Zorzi; Rodolphe Sepulchre (CDC, 2015)

A Bayesian approach to sparse plus low rank network identification. - Mattia Zorzi; Alessandro Chiuso (CDC, 2015)

On the convergence of a risk sensitive like filter. - Mattia Zorzi; Bernard C. Levy (CDC, 2015)

Factor analysis of moving average processes. - Mattia Zorzi; Rodolphe Sepulchre (ECC, 2015)

An interpretation of the dual problem of the THREE-like approaches. - Mattia Zorzi (Autom., 2015)

Multivariate Spectral Estimation Based on the Concept of Optimal Prediction. - Mattia Zorzi (IEEE Trans. Autom. Control., 2015)

Online semi-parametric learning for inverse dynamics modeling. - Diego Romeres; Mattia Zorzi; Raffaello Camoriano; Alessandro Chiuso (CDC, 2016)

Online semi-parametric learning for inverse dynamics modeling. - Diego Romeres; Mattia Zorzi; Alessandro Chiuso (CoRR, 2016)

A Contraction Analysis of the Convergence of Risk-Sensitive Filters. - Bernard C. Levy; Mattia Zorzi (SIAM J. Control. Optim., 2016)

AR Identification of Latent-Variable Graphical Models. - Mattia Zorzi; Rodolphe Sepulchre (IEEE Trans. Autom. Control., 2016)

Factor analysis with finite data. - Valentina Ciccone; Augusto Ferrante; Mattia Zorzi (CDC, 2017)

Estimating effective connectivity in linear brain network models. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2017)

On the robustness of the Bayes and Wiener estimators under model uncertainty. - Mattia Zorzi (Autom., 2017)

Sparse plus low rank network identification: A nonparametric approach. - Mattia Zorzi; Alessandro Chiuso (Autom., 2017)

Convergence Analysis of a Family of Robust Kalman Filters Based on the Contraction Principle. - Mattia Zorzi (SIAM J. Control. Optim., 2017)

Robust Kalman Filtering Under Model Perturbations. - Mattia Zorzi (IEEE Trans. Autom. Control., 2017)

Robust Identification of "Sparse Plus Low-rank" Graphical Models: An Optimization Approach. - Valentina Ciccone; Augusto Ferrante; Mattia Zorzi (CDC, 2018)

Learning Quasi-Kronecker Product Graphical Models. - Mattia Zorzi (CDC, 2018)

Robust Kalman Filtering: Asymptotic Analysis of the Least Favorable Model. - Mattia Zorzi; Bernard C. Levy (CDC, 2018)

The harmonic analysis of kernel functions. - Mattia Zorzi; Alessandro Chiuso (Autom., 2018)

The role of noise modeling in the estimation of resting-state brain effective connectivity. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CoRR, 2018)

Identification of Sparse Reciprocal Graphical Models. - Daniele Alpago; Mattia Zorzi; Augusto Ferrante (IEEE Control. Syst. Lett., 2018)

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach. - Bin Zhu; Augusto Ferrante; Johan Karlsson; Mattia Zorzi (CDC, 2019)

Empirical Bayesian learning in AR graphical models. - Mattia Zorzi (Autom., 2019)

An alternating minimization algorithm for Factor Analysis. - Valentina Ciccone; Augusto Ferrante; Mattia Zorzi (Kybernetika, 2019)

Graphical model selection for a particular class of continuous-time processes. - Mattia Zorzi (Kybernetika, 2019)

Factor Models With Real Data: A Robust Estimation of the Number of Factors. - Valentina Ciccone; Augusto Ferrante; Mattia Zorzi (IEEE Trans. Autom. Control., 2019)

Image compression by means of the multidimensional circulant covariance extension problem - Revisited. - Tommaso Benciolini; Tommaso Grigoletto; Mattia Zorzi (CDC, 2020)

Learning AR factor models. - Francesca Crescente; Lucia Falconi; Federica Rozzi; Augusto Ferrante; Mattia Zorzi (CDC, 2020)

Low-rank Kalman filtering under model uncertainty. - Shenglun Yi; Mattia Zorzi (CDC, 2020)

Link Prediction: A Graphical Model Approach. - Daniele Alpago; Mattia Zorzi; Augusto Ferrante (ECC, 2020)

A new kernel-based approach for spectral estimation. - Mattia Zorzi (ECC, 2020)

Autoregressive identification of Kronecker graphical models. - Mattia Zorzi (Autom., 2020)

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Maurizio Corbetta; Marco Zorzi; Alessandro Chiuso (NeuroImage, 2020)

Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance. - Alessandro Emanuele; Francesco Gasparotto; Giacomo Guerra; Mattia Zorzi (Sensors, 2020)

Learning Latent Variable Dynamic Graphical Models by Confidence Sets Selection. - Valentina Ciccone; Augusto Ferrante; Mattia Zorzi (IEEE Trans. Autom. Control., 2020)

Distributed Kalman Filtering Under Model Uncertainty. - Mattia Zorzi (IEEE Trans. Control. Netw. Syst., 2020)

Derivative-Free Online Learning of Inverse Dynamics Models. - Diego Romeres; Mattia Zorzi; Raffaello Camoriano; Silvio Traversaro; Alessandro Chiuso (IEEE Trans. Control. Syst. Technol., 2020)

Learning the tuned liquid damper dynamics by means of a robust EKF. - Alberta Longhini; Michele Perbellini; Stefano Gottardi; Shenglun Yi; Hao Liu; Mattia Zorzi (ACC, 2021)

Estimating Effective Connectivity using Brain Partitioning. - Elvina Gindullina; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2021)

Optimal Transport between Gaussian random fields. - Mattia Zorzi (MED, 2021)

M2-spectral estimation: A relative entropy approach. - Bin Zhu; Augusto Ferrante; Johan Karlsson; Mattia Zorzi (Autom., 2021)

M2 Spectral Estimation: A Flexible Approach Ensuring Rational Solutions. - Bin Zhu; Augusto Ferrante; Johan Karlsson; Mattia Zorzi (SIAM J. Control. Optim., 2021)

Optimal Transport Between Gaussian Stationary Processes. - Mattia Zorzi (IEEE Trans. Autom. Control., 2021)

A new perspective on robust performance for LQG control problems. - Lucia Falconi; Augusto Ferrante; Mattia Zorzi (CDC, 2022)

Generalized DCM models for pre-filtering compensation. - Elvina Gindullina; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2022)

Distributed Kalman filtering with event-triggered communication: a robust approach. - Davide Ghion; Mattia Zorzi (MED, 2022)

Nonparametric identification of Kronecker networks. - Mattia Zorzi (Autom., 2022)

A Scalable Strategy for the Identification of Latent-Variable Graphical Models. - Daniele Alpago; Mattia Zorzi; Augusto Ferrante (IEEE Trans. Autom. Control., 2022)

Robust Kalman Filtering Under Model Uncertainty: The Case of Degenerate Densities. - Shenglun Yi; Mattia Zorzi (IEEE Trans. Autom. Control., 2022)

Robust extended Kalman smoothing under model uncertainties. - Shenglun Yi; Mattia Zorzi (ICSTCC, 2023)

Mean-square consistency of the f-truncated M2-periodogram. - Lucia Falconi; Augusto Ferrante; Mattia Zorzi (Autom., 2023)

A Weaker Regularity Condition for the Multidimensional ν-Moment Problem. - Bin Zhu 014; Mattia Zorzi (IEEE Control. Syst. Lett., 2023)

Robust fixed-lag smoothing under model perturbations. - Shenglun Yi; Mattia Zorzi (J. Frankl. Inst., 2023)

Data-Driven Link Prediction Over Graphical Models. - Daniele Alpago; Mattia Zorzi; Augusto Ferrante (IEEE Trans. Autom. Control., 2023)

Hidden factor estimation in Dynamic Generalized Factor Analysis models. - Giorgio Picci; Lucia Falconi; Augusto Ferrante; Mattia Zorzi (Autom., 2023)

A Well-Posed Multidimensional Rational Covariance and Generalized Cepstral Extension Problem. - Bin Zhu 014; Mattia Zorzi (SIAM J. Control. Optim., 2023)

Robust distributed Kalman filtering with event-triggered communication. - Davide Ghion; Mattia Zorzi (J. Frankl. Inst., 2023)

Identification of Non-causal Graphical Models. - Junyao You; Mattia Zorzi (CDC, 2024)

Analyzing the impact of regularization on REMSE. - Bin Zhu; Mattia Zorzi (Autom., 2024)

On the convergence of degenerate risk sensitive filters. - Mattia Zorzi; Shenglun Yi (Syst. Control. Lett., 2024)

A Robust Approach to ARMA Factor Modeling. - Lucia Falconi; Augusto Ferrante; Mattia Zorzi (IEEE Trans. Autom. Control., 2024)

A Second-Order Generalization of TC and DC Kernels. - Mattia Zorzi (IEEE Trans. Autom. Control., 2024)

A Switched Approach for Smartphone-Based Pedestrian Navigation. - Shenglun Yi; Mattia Zorzi; Xuebo Jin 001; Tingli Su 001 (Sensors, 2024)

On the Statistical Consistency of a Generalized Cepstral Estimator. - Bin Zhu 014; Mattia Zorzi (IEEE Trans. Autom. Control., 2024)

Data-driven robust UAV position estimation in GPS signal-challenged environment. - Shenglun Yi; Xuebo Jin; Zhengjie Wang; Zhijun Liu; Mattia Zorzi (ACC, 2025)

Distributionally robust LQG control under distributed uncertainty. - Lucia Falconi; Augusto Ferrante; Mattia Zorzi (Autom., 2025)

On the Identification of ARMA Graphical Models. - Mattia Zorzi (IEEE Trans. Autom. Control., 2025)

Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets. - Marta Fochesato; Lucia Falconi; Mattia Zorzi; Augusto Ferrante; John Lygeros (CoRR, 2025)