Gianluigi Pillonetto

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 77

Top Venues

Publications

Wenqi Cao, Gianluigi Pillonetto
Dealing with collinearity in large-scale linear system identification using Gaussian regression. Autom. 166 (2024)
Mauro Bisiacco, Gianluigi Pillonetto
Mercer kernel absolute integrability is only sufficient for RKHS stability. Syst. Control. Lett. 191 (2024)
Gianluigi Pillonetto, Mauro Bisiacco
Kernel-based linear system identification: When does the representer theorem hold? Autom. 159 (2024)
Mauro Bisiacco, Gianluigi Pillonetto
A refinement of the stability test for reproducing kernel Hilbert spaces. Autom. 163 (2024)
Anna Scampicchio, Mauro Bisiacco, Gianluigi Pillonetto
Kernel-based learning of orthogonal functions. Neurocomputing 545 (2023)
Mauro Bisiacco, Gianluigi Pillonetto
Absolute integrability of Mercer kernels is only sufficient for RKHS stability. CoRR (2023)
Alberto Giaretta, Mauro Bisiacco, Gianluigi Pillonetto
Kernel-based function learning in dynamic and non stationary environments. CoRR (2023)
Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
Deep networks for system identification: a Survey. CoRR (2023)
Mauro Bisiacco, Gianluigi Pillonetto
Sliding-Mode Theory Under Feedback Constraints and the Problem of Epidemic Control. SIAM J. Appl. Math. 83 (6) (2023)
Mauro Bisiacco, Gianluigi Pillonetto
On the stability test for reproducing kernel Hilbert spaces. CoRR (2023)
Wenqi Cao, Gianluigi Pillonetto
Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. CoRR (2023)
Wenqi Cao, Gianluigi Pillonetto
Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CoRR (2022)
Giacomo Baggio, Algo Carè, Anna Scampicchio, Gianluigi Pillonetto
Bayesian frequentist bounds for machine learning and system identification. Autom. 146 (2022)
Simone Faccioli, Andrea Facchinetti, Giovanni Sparacino, Gianluigi Pillonetto, Simone Del Favero
Linear Model Identification for Personalized Prediction and Control in Diabetes. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Gianluigi Pillonetto, Anna Scampicchio
Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators. IEEE Trans. Autom. Control. 67 (5) (2022)
Gianluigi Pillonetto, Akram Yazdani
Sparse estimation in linear dynamic networks using the stable spline horseshoe prior. Autom. 146 (2022)
Nicolò Dal Fabbro, Michele Rossi, Gianluigi Pillonetto, Luca Schenato, Giuseppe Piro
Model-Free Radio Map Estimation in Massive MIMO Systems via Semi-Parametric Gaussian Regression. IEEE Wirel. Commun. Lett. 11 (3) (2022)
Giacomo Baggio, Algo Carè, Gianluigi Pillonetto
Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements. CDC (2022)
Alberto Dalla Libera, Gianluigi Pillonetto
Deep prediction networks. Neurocomputing 469 (2022)
Gianluigi Pillonetto, Alessandro Chiuso
Linear system identification using the sequential stabilizing spline algorithm. Autom. 138 (2022)
Mauro Bisiacco, Gianluigi Pillonetto, Claudio Cobelli
Closed-form expressions and nonparametric estimation of COVID-19 infection rate. Autom. 140 (2022)
Wenqi Cao, Gianluigi Pillonetto
Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CDC (2022)
Gianluigi Pillonetto
Estimation of sparse linear dynamic networks using the stable spline horseshoe prior. CoRR (2021)
Mauro Bisiacco, Gianluigi Pillonetto
COVID-19 epidemic control using short-term lockdowns for collective gain. CoRR (2021)
Anna Scampicchio, Aleksandr Y. Aravkin, Gianluigi Pillonetto
Stable and robust LQR design via scenario approach. Autom. 129 (2021)
Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
Kernel-based methods for Volterra series identification. Autom. 129 (2021)
Mauro Bisiacco, Gianluigi Pillonetto
Sliding-mode theory under feedback constraints and the problem of epidemic control. CoRR (2021)
Mauro Bisiacco, Gianluigi Pillonetto
COVID-19 epidemic control using short-term lockdowns for collective gain. Annu. Rev. Control. 52 (2021)
Mauro Bisiacco, Gianluigi Pillonetto
On the mathematical foundations of stable RKHSs. Autom. 118 (2020)
Anna Scampicchio, Gianluigi Pillonetto
A convex approach to robust LQR. CDC (2020)
Gianluigi Pillonetto, Mauro Bisiacco, Giorgio Palù, Claudio Cobelli
Tracking the time course of reproduction number and lockdown's effect during SARS-CoV-2 epidemic: nonparametric estimation. CoRR (2020)
Mauro Bisiacco, Gianluigi Pillonetto
Mathematical foundations of stable RKHSs. CoRR (2020)
Mauro Bisiacco, Gianluigi Pillonetto
Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability. SIAM J. Control. Optim. 58 (4) (2020)
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
Efficient spatio-temporal Gaussian regression via Kalman filtering. Autom. 118 (2020)
Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster
Fast robust methods for singular state-space models. Autom. 105 (2019)
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
Stable spline identification of linear systems under missing data. Autom. 108 (2019)
Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster
Robust Singular Smoothers for Tracking Using Low-Fidelity Data. Robotics: Science and Systems (2019)
Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
A novel Multiplicative Polynomial Kernel for Volterra series identification. CoRR (2019)
Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
Distributed Multi-Agent Gaussian Regression via Finite-Dimensional Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
Stable spline identification of linear systems under missing data. CoRR (2019)
Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli
Proprioceptive Robot Collision Detection through Gaussian Process Regression. ACC (2019)
Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli
Proprioceptive Robot Collision Detection through Gaussian Process Regression. CoRR (2019)
Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto
Bayesian Kernel-Based Linear Control Design. CDC (2019)
Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto
Boosting as a kernel-based method. Mach. Learn. 108 (11) (2019)
Mauro Bisiacco, Gianluigi Pillonetto
Kernel absolute summability is only sufficient for RKHS stability. CoRR (2019)
Alessandro Chiuso, Gianluigi Pillonetto
System Identification: A Machine Learning Perspective. Annu. Rev. Control. Robotics Auton. Syst. 2 (2019)
Giada Acciaroli, Andrea Facchinetti, Gianluigi Pillonetto, Giovanni Sparacino
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models. EMBC (2018)
Mohamed Abdelmonim Hassan Darwish, Gianluigi Pillonetto, Roland Tóth
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs. Autom. 87 (2018)
Anna Scampicchio, Gianluigi Pillonetto
A New Model Selection Approach to Hybrid Kernel-Based Estimation. CDC (2018)
Algo Carè, Gianluigi Pillonetto, Marco C. Campi
Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach. MLSP (2018)
Tianshi Chen, Gianluigi Pillonetto
On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses. Autom. 95 (2018)
Anas W. Alhashimi, Simone Del Favero, Damiano Varagnolo, Thomas Gustafsson, Gianluigi Pillonetto
Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures. ECC (2018)
Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
Generalized System Identification with Stable Spline Kernels. SIAM J. Sci. Comput. 40 (5) (2018)
Mohamed Abdelmonim Hassan Darwish, Pepijn Bastiaan Cox, Ioannis Proimadis, Gianluigi Pillonetto, Roland Tóth
Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach. Autom. 97 (2018)
Gianluigi Pillonetto
System identification using kernel-based regularization: New insights on stability and consistency issues. Autom. 93 (2018)
Giulio Bottegal, Gianluigi Pillonetto
The generalized cross validation filter. Autom. 90 (2018)
Aleksandr Y. Aravkin, James V. Burke, Lennart Ljung, Aurelie C. Lozano, Gianluigi Pillonetto
Generalized Kalman smoothing: Modeling and algorithms. Autom. 86 (2017)
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures. Autom. 80 (2017)
Giulio Bottegal, Gianluigi Pillonetto
The Generalized Cross Validation Filter. CoRR (2017)
Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
Distributed multi-agent Gaussian regression via Karhunen-Loève expansions. CoRR (2017)
Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
A new kernel-based approach to system identification with quantized output data. Autom. 85 (2017)
Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
Statistical bounds for Gaussian regression algorithms based on Karhunen-Loève expansions. CDC (2017)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Maximum Entropy vector kernels for MIMO system identification. Autom. 79 (2017)
Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering. CoRR (2017)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. 66 (2016)
Gianluigi Pillonetto
The interplay between system identification and machine learning. CoRR (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian system identification. ECC (2016)
Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
A new kernel-based approach to system identification with quantized output data. CoRR (2016)
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
Machine learning meets Kalman Filtering. CDC (2016)
Damiano Varagnolo, Filippo Zanella, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato
Newton-Raphson Consensus for Distributed Convex Optimization. IEEE Trans. Autom. Control. 61 (4) (2016)
Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
Robust EM kernel-based methods for linear system identification. Autom. 67 (2016)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. 69 (2016)
Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian System Identification. CoRR (2016)
Gianluigi Pillonetto, Aleksandr Y. Aravkin
A stable spline convex approach to hybrid systems identification. MLSP (2016)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Continuous-time DC kernel - A stable generalized first order spline kernel. CDC (2016)
Gianluigi Pillonetto
A new kernel-based approach to hybrid system identification. Autom. 70 (2016)
Mohamed Abdelmonim Hassan Darwish, Pepijn B. Cox, Gianluigi Pillonetto, Roland Tóth
Bayesian identification of LPV Box-Jenkins models. CDC (2015)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR (2015)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR (2015)
Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
Maximum Entropy Vector Kernels for MIMO system identification. CoRR (2015)
Gianluigi Pillonetto
Identification of hybrid systems using stable spline kernels. MLSP (2015)
Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, Gianluigi Pillonetto
Outlier robust kernel-based system identification using ℓ1-Laplace techniques. CDC (2015)
Giulio Bottegal, Gianluigi Pillonetto, Håkan Hjalmarsson
Bayesian kernel-based system identification with quantized output data. CoRR (2015)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Spectral analysis of the DC kernel for regularized system identification. CDC (2015)
Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
Auto-tuning procedures for distributed nonparametric regression algorithms. ECC (2015)
Gianluigi Pillonetto, Alessandro Chiuso
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator. Autom. 58 (2015)
Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
Multi-agents adaptive estimation and coverage control using Gaussian regression. ECC (2015)
Mohamed Abdelmonim Hassan Darwish, Gianluigi Pillonetto, Roland Tóth
Perspectives of orthonormal basis functions based kernels in Bayesian system identification? CDC (2015)
Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. IEEE Trans. Neural Networks Learn. Syst. 26 (7) (2015)
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Identification of stable models via nonparametric prediction error methods. ECC (2015)
Gianluigi Pillonetto, Alessandro Chiuso
Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator. ECC (2014)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties. CDC (2014)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. CoRR (2014)
Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
Robust EM kernel-based methods for linear system identification. CoRR (2014)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
On the design of multiple kernels for nonparametric linear system identification. CDC (2014)
Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and nonparametric methods for system identification and model selection. ECC (2014)
Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto
Kalman smoothing with persistent nuisance parameters. MLSP (2014)
Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
Distributed Cardinality Estimation in Anonymous Networks. IEEE Trans. Autom. Control. 59 (3) (2014)
Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. 59 (11) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gianluigi Pillonetto