Gianluigi Pillonetto
Orcid: 0000-0002-1072-3144
According to our database1,
Gianluigi Pillonetto
authored at least 162 papers
between 2001 and 2025.
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Online presence:
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Bibliography
2025
2024
IEEE Trans. Autom. Control., October, 2024
Autom., January, 2024
Syst. Control. Lett., 2024
CoRR, 2024
Dealing with collinearity in large-scale linear system identification using Gaussian regression.
Autom., 2024
Autom., 2024
2023
SIAM J. Appl. Math., December, 2023
CoRR, 2023
CoRR, 2023
2022
Model-Free Radio Map Estimation in Massive MIMO Systems via Semi-Parametric Gaussian Regression.
IEEE Wirel. Commun. Lett., 2022
IEEE Trans. Biomed. Eng., 2022
Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators.
IEEE Trans. Autom. Control., 2022
Sparse estimation in linear dynamic networks using the stable spline horseshoe prior.
Autom., 2022
Autom., 2022
Autom., 2022
Autom., 2022
Dealing with collinearity in large-scale linear system identification using Bayesian regularization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Estimation of sparse linear dynamic networks using the stable spline horseshoe prior.
CoRR, 2021
Annu. Rev. Control., 2021
2020
SIAM J. Control. Optim., 2020
Tracking the time course of reproduction number and lockdown's effect during SARS-CoV-2 epidemic: nonparametric estimation.
CoRR, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
CoRR, 2019
Annu. Rev. Control. Robotics Auton. Syst., 2019
Proceedings of the Robotics: Science and Systems XV, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
SIAM J. Sci. Comput., 2018
System identification using kernel-based regularization: New insights on stability and consistency issues.
Autom., 2018
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs.
Autom., 2018
Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach.
Autom., 2018
On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses.
Autom., 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures.
Proceedings of the 16th European Control Conference, 2018
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
CoRR, 2017
Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures.
Autom., 2017
Autom., 2017
Statistical bounds for Gaussian regression algorithms based on Karhunen-Loève expansions.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
IEEE Trans. Autom. Control., 2016
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint.
Autom., 2016
Autom., 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 15th European Control Conference, 2016
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets.
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator.
Autom., 2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 14th European Control Conference, 2015
Perspectives of orthonormal basis functions based kernels in Bayesian system identification?
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
IEEE Trans. Autom. Control., 2014
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.
IEEE Trans. Autom. Control., 2014
SIAM J. Control. Optim., 2014
Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso.
J. Mach. Learn. Res., 2014
Kernel methods in system identification, machine learning and function estimation: A survey.
Autom., 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator.
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 13th European Control Conference, 2014
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory.
J. Mach. Learn. Res., 2013
The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields
CoRR, 2013
Comput. Methods Programs Biomed., 2013
Autom., 2013
Kernel-based model order selection for identification and prediction of linear dynamic systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
2012
Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework.
IEEE Trans. Wirel. Commun., 2012
Distributed parametric and nonparametric regression with on-line performance bounds computation.
Autom., 2012
Online Estimation of Covariance Parameters using Extended Kalman Filtering and Application to Robot Localization.
Adv. Robotics, 2012
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Bayesian learning of probability density functions: A Markov chain Monte Carlo approach.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Nonsmooth regression and state estimation using piecewise quadratic log-concave densities.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2011
IEEE Trans. Neural Networks, 2011
IEEE Trans. Autom. Control., 2011
Prediction error identification of linear systems: A nonparametric Gaussian regression approach.
Autom., 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Kernel selection in linear system identification Part I: A Gaussian process perspective.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
The unconstrained and inequality constrained moving horizon approach to robot localization.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization.
Proceedings of the American Control Conference, 2010
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels.
Proceedings of the American Control Conference, 2010
2009
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov.
IEEE Trans. Biomed. Eng., 2009
Autom., 2009
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization.
Autom., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
IEEE Trans. Autom. Control., 2008
Autom., 2008
Solutions of nonlinear control and estimation problems in reproducing kernel Hilbert spaces: Existence and numerical determination.
Autom., 2008
Online estimation of variance parameters: Experimental results with applications to localization.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
2007
Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems.
Autom., 2007
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance.
Autom., 2007
Multirobot localization with unknown variance parameters using iterated Kalman filtering.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the American Control Conference, 2007
2006
Input estimation in nonlinear dynamical systems using differential algebra techniques.
Autom., 2006
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Merging the adaptive random walks planner with the randomized potential field planner.
Proceedings of the Fifth International Workshop on Robot Motion and Control, 2005
2003
Proceedings of the System Modeling and Optimization, 2003
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003
2002
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.
Comput. Methods Programs Biomed., 2002
2001
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method.
IEEE Trans. Biomed. Eng., 2001