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Mattia Zorzi
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2020 – today
- 2024
- [j45]Bin Zhu, Mattia Zorzi:
Analyzing the impact of regularization on REMSE. Autom. 163: 111605 (2024) - [j44]Mattia Zorzi
, Shenglun Yi
On the convergence of degenerate risk sensitive filters. Syst. Control. Lett. 185: 105732 (2024) - [j43]Shenglun Yi, Mattia Zorzi, Xuebo Jin
A Switched Approach for Smartphone-Based Pedestrian Navigation. Sensors 24(16): 5247 (2024) - [j42]Lucia Falconi
A Robust Approach to ARMA Factor Modeling. IEEE Trans. Autom. Control. 69(2): 828-841 (2024) - [j41]Mattia Zorzi
A Second-Order Generalization of TC and DC Kernels. IEEE Trans. Autom. Control. 69(6): 3835-3848 (2024) - [j40]Bin Zhu
On the Statistical Consistency of a Generalized Cepstral Estimator. IEEE Trans. Autom. Control. 69(9): 5775-5787 (2024) - 2023
- [j39]Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
Mean-square consistency of the f-truncated M2-periodogram. Autom. 147: 110672 (2023) - [j38]Giorgio Picci, Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
Hidden factor estimation in Dynamic Generalized Factor Analysis models. Autom. 149: 110834 (2023) - [j37]Bin Zhu
A Weaker Regularity Condition for the Multidimensional ν-Moment Problem. IEEE Control. Syst. Lett. 7: 1795-1800 (2023) - [j36]Shenglun Yi
Robust fixed-lag smoothing under model perturbations. J. Frankl. Inst. 360(1): 458-483 (2023) - [j35]Davide Ghion, Mattia Zorzi
Robust distributed Kalman filtering with event-triggered communication. J. Frankl. Inst. 360(18): 14596-14613 (2023) - [j34]Bin Zhu
A Well-Posed Multidimensional Rational Covariance and Generalized Cepstral Extension Problem. SIAM J. Control. Optim. 61(3): 1532-1556 (2023) - [j33]Daniele Alpago
Data-Driven Link Prediction Over Graphical Models. IEEE Trans. Autom. Control. 68(4): 2215-2228 (2023) - [c26]Shenglun Yi
Robust extended Kalman smoothing under model uncertainties. ICSTCC 2023: 82-87 - [i8]Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
Distributionally Robust LQG control under Distributed Uncertainty. CoRR abs/2306.05227 (2023) - 2022
- [j32]Mattia Zorzi:
Nonparametric identification of Kronecker networks. Autom. 145: 110518 (2022) - [j31]Daniele Alpago
A Scalable Strategy for the Identification of Latent-Variable Graphical Models. IEEE Trans. Autom. Control. 67(7): 3349-3362 (2022) - [j30]Shenglun Yi
Robust Kalman Filtering Under Model Uncertainty: The Case of Degenerate Densities. IEEE Trans. Autom. Control. 67(7): 3458-3471 (2022) - [c25]Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
Generalized DCM models for pre-filtering compensation. CDC 2022: 880-885 - [c24]Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
A new perspective on robust performance for LQG control problems. CDC 2022: 3003-3008 - [c23]Davide Ghion, Mattia Zorzi:
Distributed Kalman filtering with event-triggered communication: a robust approach. MED 2022: 785-790 - [i7]Giorgio Picci, Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
Hidden Factor estimation in Dynamic Generalized Factor Analysis Models. CoRR abs/2211.12789 (2022) - 2021
- [j29]Bin Zhu, Augusto Ferrante, Johan Karlsson, Mattia Zorzi
M2-spectral estimation: A relative entropy approach. Autom. 125: 109404 (2021) - [j28]Bin Zhu, Augusto Ferrante, Johan Karlsson, Mattia Zorzi
M2 Spectral Estimation: A Flexible Approach Ensuring Rational Solutions. SIAM J. Control. Optim. 59(4): 2977-2996 (2021) - [j27]Mattia Zorzi
Optimal Transport Between Gaussian Stationary Processes. IEEE Trans. Autom. Control. 66(10): 4939-4944 (2021) - [c22]Alberta Longhini, Michele Perbellini, Stefano Gottardi, Shenglun Yi
Learning the tuned liquid damper dynamics by means of a robust EKF. ACC 2021: 60-65 - [c21]Elvina Gindullina, Mattia Zorzi
Estimating Effective Connectivity using Brain Partitioning. CDC 2021: 1574-1579 - [c20]Mattia Zorzi
Optimal Transport between Gaussian random fields. MED 2021: 186-191 - 2020
- [j26]Mattia Zorzi
Autoregressive identification of Kronecker graphical models. Autom. 119: 109053 (2020) - [j25]Giulia Prando, Mattia Zorzi
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage 208: 116367 (2020) - [j24]Alessandro Emanuele
Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance. Sensors 20(11): 3244 (2020) - [j23]Valentina Ciccone
Learning Latent Variable Dynamic Graphical Models by Confidence Sets Selection. IEEE Trans. Autom. Control. 65(12): 5130-5143 (2020) - [j22]Mattia Zorzi
Distributed Kalman Filtering Under Model Uncertainty. IEEE Trans. Control. Netw. Syst. 7(2): 990-1001 (2020) - [j21]Diego Romeres
Derivative-Free Online Learning of Inverse Dynamics Models. IEEE Trans. Control. Syst. Technol. 28(3): 816-830 (2020) - [c19]Francesca Crescente, Lucia Falconi, Federica Rozzi, Augusto Ferrante, Mattia Zorzi
Learning AR factor models. CDC 2020: 274-279 - [c18]Tommaso Benciolini, Tommaso Grigoletto, Mattia Zorzi
Image compression by means of the multidimensional circulant covariance extension problem - Revisited. CDC 2020: 280-285 - [c17]Shenglun Yi
Low-rank Kalman filtering under model uncertainty. CDC 2020: 2930-2935 - [c16]Mattia Zorzi:
A new kernel-based approach for spectral estimation. ECC 2020: 534-539 - [c15]Daniele Alpago, Mattia Zorzi, Augusto Ferrante:
Link Prediction: A Graphical Model Approach. ECC 2020: 718-723
2010 – 2019
- 2019
- [j20]Mattia Zorzi
Empirical Bayesian learning in AR graphical models. Autom. 109 (2019) - [j19]Valentina Ciccone
An alternating minimization algorithm for Factor Analysis. Kybernetika 55(4): 740-754 (2019) - [j18]Mattia Zorzi
Graphical model selection for a particular class of continuous-time processes. Kybernetika 55(5): 782-801 (2019) - [j17]Valentina Ciccone
Factor Models With Real Data: A Robust Estimation of the Number of Factors. IEEE Trans. Autom. Control. 64(6): 2412-2425 (2019) - [c14]Bin Zhu, Augusto Ferrante, Johan Karlsson, Mattia Zorzi
Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach. CDC 2019: 5088-5093 - 2018
- [j16]Mattia Zorzi
The harmonic analysis of kernel functions. Autom. 94: 125-137 (2018) - [j15]Daniele Alpago
Identification of Sparse Reciprocal Graphical Models. IEEE Control. Syst. Lett. 2(4): 659-664 (2018) - [c13]Mattia Zorzi
Learning Quasi-Kronecker Product Graphical Models. CDC 2018: 1427-1432 - [c12]Valentina Ciccone
Robust Identification of "Sparse Plus Low-rank" Graphical Models: An Optimization Approach. CDC 2018: 2241-2246 - [c11]Mattia Zorzi
Robust Kalman Filtering: Asymptotic Analysis of the Least Favorable Model. CDC 2018: 7124-7129 - [i6]Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
The role of noise modeling in the estimation of resting-state brain effective connectivity. CoRR abs/1802.05533 (2018) - [i5]Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso:
Derivative-free online learning of inverse dynamics models. CoRR abs/1809.05074 (2018) - 2017
- [j14]Mattia Zorzi
Sparse plus low rank network identification: A nonparametric approach. Autom. 76: 355-366 (2017) - [j13]Mattia Zorzi
On the robustness of the Bayes and Wiener estimators under model uncertainty. Autom. 83: 133-140 (2017) - [j12]Mattia Zorzi
Convergence Analysis of a Family of Robust Kalman Filters Based on the Contraction Principle. SIAM J. Control. Optim. 55(5): 3116-3131 (2017) - [j11]Mattia Zorzi
Robust Kalman Filtering Under Model Perturbations. IEEE Trans. Autom. Control. 62(6): 2902-2907 (2017) - [c10]Valentina Ciccone
Factor analysis with finite data. CDC 2017: 4046-4051 - [c9]Giulia Prando, Mattia Zorzi
Estimating effective connectivity in linear brain network models. CDC 2017: 5931-5936 - 2016
- [j10]Bernard C. Levy
A Contraction Analysis of the Convergence of Risk-Sensitive Filters. SIAM J. Control. Optim. 54(4): 2154-2173 (2016) - [j9]Mattia Zorzi
AR Identification of Latent-Variable Graphical Models. IEEE Trans. Autom. Control. 61(9): 2327-2340 (2016) - [c8]Diego Romeres, Mattia Zorzi
Online semi-parametric learning for inverse dynamics modeling. CDC 2016: 2945-2950 - [i4]Diego Romeres, Mattia Zorzi, Alessandro Chiuso:
Online semi-parametric learning for inverse dynamics modeling. CoRR abs/1603.05412 (2016) - 2015
- [j8]Mattia Zorzi
An interpretation of the dual problem of the THREE-like approaches. Autom. 62: 87-92 (2015) - [j7]Mattia Zorzi
Multivariate Spectral Estimation Based on the Concept of Optimal Prediction. IEEE Trans. Autom. Control. 60(6): 1647-1652 (2015) - [c7]Francesco Fraccaroli, Andrea Peruffo, Mattia Zorzi:
A new recursive least squares method with multiple forgetting schemes. CDC 2015: 3367-3372 - [c6]Raphaël Liégeois
Sparse plus low-rank autoregressive identification in neuroimaging time series. CDC 2015: 3965-3970 - [c5]Mattia Zorzi, Bernard C. Levy
On the convergence of a risk sensitive like filter. CDC 2015: 4990-4995 - [c4]Mattia Zorzi, Alessandro Chiuso
A Bayesian approach to sparse plus low rank network identification. CDC 2015: 7386-7391 - [c3]Mattia Zorzi
Factor analysis of moving average processes. ECC 2015: 3579-3584 - [i3]Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi
Sparse plus low-rank autoregressive identification in neuroimaging time series. CoRR abs/1503.08639 (2015) - 2014
- [j6]Mattia Zorzi
Rational approximations of spectral densities based on the Alpha divergence. Math. Control. Signals Syst. 26(2): 259-278 (2014) - [j5]Mattia Zorzi
Minimal resources identifiability and estimation of quantum channels. Quantum Inf. Process. 13(3): 683-707 (2014) - [j4]Mattia Zorzi
A New Family of High-Resolution Multivariate Spectral Estimators. IEEE Trans. Autom. Control. 59(4): 892-904 (2014) - [j3]Mattia Zorzi
Minimum Relative Entropy for Quantum Estimation: Feasibility and General Solution. IEEE Trans. Inf. Theory 60(1): 357-367 (2014) - 2013
- [i2]Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante:
Minimum Relative Entropy for Quantum Estimation: Feasibility and General Solution. CoRR abs/1301.6658 (2013) - [i1]Bernard C. Levy, Mattia Zorzi
A Contraction Analysis of the Convergence of Risk-Sensitive Filters. CoRR abs/1305.1268 (2013) - 2012
- [j2]Mattia Zorzi
On the estimation of structured covariance matrices. Autom. 48(9): 2145-2151 (2012) - [j1]Augusto Ferrante, Michele Pavon, Mattia Zorzi
A Maximum Entropy Enhancement for a Family of High-Resolution Spectral Estimators. IEEE Trans. Autom. Control. 57(2): 318-329 (2012) - [c2]Mattia Zorzi
Estimation of quantum channels: Identifiability and ML methods. CDC 2012: 1674-1679 - 2011
- [c1]Roberto Corvaja, Ivan Capraro, Alberto Dall'Arche, Nicola Dalla Pozza
Engineering a long distance free-space quantum channel. ISABEL 2011: 187:1-187:5
Coauthor Index
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last updated on 2024-10-04 21:00 CEST by the dblp team
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