Gianluigi Pillonetto

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Alessandro ChiusoProfessor of Automatic Control, University of PadovaCorreu electrònic verificat a dei.unipd.it
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenCorreu electrònic verificat a isy.liu.se
Aleksandr AravkinUniversity of WashingtonCorreu electrònic verificat a uw.edu
luca schenatoProfessor of Electrical Engineering, University of PadovaCorreu electrònic verificat a dei.unipd.it
Claudio CobelliFull Professor of Bioengineering, University of PadovaCorreu electrònic verificat a dei.unipd.it
James V BurkeUniversity of WashingtonCorreu electrònic verificat a uw.edu
Damiano VaragnoloDepartment of Engineering Cybernetics, NTNU - Norwegian University of Science and TechnologyCorreu electrònic verificat a ntnu.no
Francesco DinuzzoMetaCorreu electrònic verificat a fb.com
Giovanni SparacinoFull Professor of Biomedical Engineering - University of Padova, ItalyCorreu electrònic verificat a dei.unipd.it
Angelo CenedeseFull Professor, University of PadovaCorreu electrònic verificat a unipd.it
Filippo ZanellaUniversity of PaduaCorreu electrònic verificat a dei.unipd.it
Alessandra BertoldoDepartment of Information Engineering, University of PadovaCorreu electrònic verificat a dei.unipd.it
Stefano CarpinProfessor, University of California, MercedCorreu electrònic verificat a ucmerced.edu
Håkan HjalmarssonCentre for Advanced Bioproduction, Linnaeus Centre ACCESS, School of EE and CSCorreu electrònic verificat a kth.se
Michele RossiDept. of Information Engineering - University of Padova, ItalyCorreu electrònic verificat a dei.unipd.it
Martin S. AndersenTechnical University of DenmarkCorreu electrònic verificat a dtu.dk
Francesca Paola CarliPostdoctoral Associate, University of CambridgeCorreu electrònic verificat a eng.cam.ac.uk
Giorgio QuerScripps ResearchCorreu electrònic verificat a scripps.edu
Michele ZorziDept. of Information Engineering - University of Padova, ItalyCorreu electrònic verificat a dei.unipd.it
Minh Ha QuangTeam Leader, RIKEN Center for Advanced Intelligence ProjectCorreu electrònic verificat a ieee.org

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Gianluigi Pillonetto

Professor of Automatic Control, University of Padova

Correu electrònic verificat a dei.unipd.it - Pàgina d'inici

System identification Learning for control Machine learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Kernel methods in system identification, machine learning and function estimation: A survey G Pillonetto, F Dinuzzo, T Chen, G De Nicolao, L Ljung Automatica 50 (3), 657-682, 2014	924	2014
A new kernel-based approach for linear system identification G Pillonetto, G De Nicolao Automatica 46 (1), 81-93, 2010	546	2010
Prediction error identification of linear systems: a nonparametric Gaussian regression approach G Pillonetto, A Chiuso, G De Nicolao Automatica 47 (2), 291-305, 2011	251	2011
Newton-Raphson consensus for distributed convex optimization D Varagnolo, F Zanella, A Cenedese, G Pillonetto, L Schenato IEEE Transactions on Automatic Control 61 (4), 994-1009, 2015	230	2015
Sensing, compression, and recovery for WSNs: Sparse signal modeling and monitoring framework G Quer, R Masiero, G Pillonetto, M Rossi, M Zorzi IEEE Transactions on wireless communications 11 (10), 3447-3461, 2012	226	2012
A Bayesian approach to sparse dynamic network identification A Chiuso, G Pillonetto Automatica 48 (8), 1553-1565, 2012	207	2012
System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques T Chen, MS Andersen, L Ljung, A Chiuso, G Pillonetto IEEE Transactions on Automatic Control 59 (11), 2933-2945, 2014	195	2014
System identification: A machine learning perspective A Chiuso, G Pillonetto Annual Review of Control, Robotics, and Autonomous Systems 2 (1), 281-304, 2019	156	2019
A new kernel-based approach for nonlinearsystem identification G Pillonetto, MH Quang, A Chiuso IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011	137	2011
Generalized Kalman smoothing: Modeling and algorithms A Aravkin, JV Burke, L Ljung, A Lozano, G Pillonetto Automatica 86, 63-86, 2017	134	2017
Newton-Raphson consensus for distributed convex optimization F Zanella, D Varagnolo, A Cenedese, G Pillonetto, L Schenato 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	118	2011
Regularized system identification: Learning dynamic models from data G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung Springer Nature, 2022	117	2022
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation G Pillonetto, G Sparacino, C Cobelli Mathematical biosciences 184 (1), 53-67, 2003	117	2003
Motion planning using adaptive random walks S Carpin, G Pillonetto IEEE Transactions on Robotics 21 (1), 129-136, 2005	114	2005
An-Laplace Robust Kalman Smoother AY Aravkin, BM Bell, JV Burke, G Pillonetto IEEE Transactions on Automatic Control 56 (12), 2898-2911, 2011	111	2011
Learning output kernels with block coordinate descent F Dinuzzo, CS Ong, G Pillonetto, PV Gehler Proceedings of the 28th international conference on machine learning (icml …, 2011	109	2011
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator G Pillonetto, A Chiuso Automatica 58, 106-117, 2015	91	2015
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung Automatica 69, 137-149, 2016	82	2016
Bayesian online multitask learning of Gaussian processes G Pillonetto, F Dinuzzo, G De Nicolao IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (2), 193-205, 2008	80	2008
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory. AY Aravkin, JV Burke, G Pillonetto Journal of Machine Learning Research 14, 2013	79	2013

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