Mattia Zorzi

IEEE Trans. Autom. Control., February, 2024

2023

Robust distributed Kalman filtering with event-triggered communication.

[BibT_eX]

[DOI]

Davide Ghion

J. Frankl. Inst., December, 2023

A Well-Posed Multidimensional Rational Covariance and Generalized Cepstral Extension Problem.

[BibT_eX]

[DOI]

Bin Zhu

SIAM J. Control. Optim., June, 2023

Hidden factor estimation in Dynamic Generalized Factor Analysis models.

[BibT_eX]

[DOI]

Autom., March, 2023

Data-Driven Link Prediction Over Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2023

Robust fixed-lag smoothing under model perturbations.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2023

A Weaker Regularity Condition for the Multidimensional ν-Moment Problem.

[BibT_eX]

[DOI]

Bin Zhu

IEEE Control. Syst. Lett., 2023

Distributionally Robust LQG control under Distributed Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Mean-square consistency of the f-truncated M<sup>2</sup>-periodogram.

[BibT_eX]

[DOI]

Autom., 2023

Robust extended Kalman smoothing under model uncertainties.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on System Theory, Control and Computing, 2023

2022

Robust Kalman Filtering Under Model Uncertainty: The Case of Degenerate Densities.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

A Scalable Strategy for the Identification of Latent-Variable Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Nonparametric identification of Kronecker networks.

[BibT_eX]

[DOI]

Autom., 2022

Distributed Kalman filtering with event-triggered communication: a robust approach.

[BibT_eX]

[DOI]

Davide Ghion

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Generalized DCM models for pre-filtering compensation.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A new perspective on robust performance for LQG control problems.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Optimal Transport Between Gaussian Stationary Processes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

M<sup>2</sup> Spectral Estimation: A Flexible Approach Ensuring Rational Solutions.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2021

M2-spectral estimation: A relative entropy approach.

[BibT_eX]

[DOI]

Autom., 2021

Optimal Transport between Gaussian random fields.

[BibT_eX]

[DOI]

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Estimating Effective Connectivity using Brain Partitioning.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning the tuned liquid damper dynamics by means of a robust EKF.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

Derivative-Free Online Learning of Inverse Dynamics Models.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2020

Distributed Kalman Filtering Under Model Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

Learning Latent Variable Dynamic Graphical Models by Confidence Sets Selection.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance.

[BibT_eX]

[DOI]

Sensors, 2020

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data.

[BibT_eX]

[DOI]

NeuroImage, 2020

Autoregressive identification of Kronecker graphical models.

[BibT_eX]

[DOI]

Autom., 2020

A new kernel-based approach for spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

Link Prediction: A Graphical Model Approach.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

Low-rank Kalman filtering under model uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning AR factor models.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Image compression by means of the multidimensional circulant covariance extension problem - Revisited.

[BibT_eX]

[DOI]

Tommaso Benciolini

Tommaso Grigoletto

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Factor Models With Real Data: A Robust Estimation of the Number of Factors.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Graphical model selection for a particular class of continuous-time processes.

[BibT_eX]

[DOI]

Kybernetika, 2019

An alternating minimization algorithm for Factor Analysis.

[BibT_eX]

[DOI]

Kybernetika, 2019

Empirical Bayesian learning in AR graphical models.

[BibT_eX]

[DOI]

Autom., 2019

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Identification of Sparse Reciprocal Graphical Models.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2018

The role of noise modeling in the estimation of resting-state brain effective connectivity.

[BibT_eX]

[DOI]

CoRR, 2018

The harmonic analysis of kernel functions.

[BibT_eX]

[DOI]

Autom., 2018

Robust Kalman Filtering: Asymptotic Analysis of the Least Favorable Model.

[BibT_eX]

[DOI]

Bernard C. Levy

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning Quasi-Kronecker Product Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robust Identification of "Sparse Plus Low-rank" Graphical Models: An Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Robust Kalman Filtering Under Model Perturbations.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Convergence Analysis of a Family of Robust Kalman Filters Based on the Contraction Principle.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2017

Sparse plus low rank network identification: A nonparametric approach.

[BibT_eX]

[DOI]

Autom., 2017

On the robustness of the Bayes and Wiener estimators under model uncertainty.

[BibT_eX]

[DOI]

Autom., 2017

Estimating effective connectivity in linear brain network models.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Factor analysis with finite data.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

AR Identification of Latent-Variable Graphical Models.

[BibT_eX]

[DOI]

Rodolphe Sepulchre

IEEE Trans. Autom. Control., 2016

A Contraction Analysis of the Convergence of Risk-Sensitive Filters.

[BibT_eX]

[DOI]

Bernard C. Levy

SIAM J. Control. Optim., 2016

Online semi-parametric learning for inverse dynamics modeling.

[BibT_eX]

[DOI]

Diego Romeres

CoRR, 2016

Online semi-parametric learning for inverse dynamics modeling.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Multivariate Spectral Estimation Based on the Concept of Optimal Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

An interpretation of the dual problem of the THREE-like approaches.

[BibT_eX]

[DOI]

Autom., 2015

Factor analysis of moving average processes.

[BibT_eX]

[DOI]

Rodolphe Sepulchre

Proceedings of the 14th European Control Conference, 2015

On the convergence of a risk sensitive like filter.

[BibT_eX]

[DOI]

Bernard C. Levy

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A Bayesian approach to sparse plus low rank network identification.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Sparse plus low-rank autoregressive identification in neuroimaging time series.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A new recursive least squares method with multiple forgetting schemes.

[BibT_eX]

[DOI]

Francesco Fraccaroli

Andrea Peruffo

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Minimum Relative Entropy for Quantum Estimation: Feasibility and General Solution.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

A New Family of High-Resolution Multivariate Spectral Estimators.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Minimal resources identifiability and estimation of quantum channels.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2014

Rational approximations of spectral densities based on the Alpha divergence.

[BibT_eX]

[DOI]

Math. Control. Signals Syst., 2014

2012

A Maximum Entropy Enhancement for a Family of High-Resolution Spectral Estimators.

[BibT_eX]

[DOI]

Michele Pavon

IEEE Trans. Autom. Control., 2012

On the estimation of structured covariance matrices.

[BibT_eX]

[DOI]

Autom., 2012

Estimation of quantum channels: Identifiability and ML methods.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Engineering a long distance free-space quantum channel.

[BibT_eX]

[DOI]

Gianfranco L. Pierobon