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Gianluigi Pillonetto
Gianluigi Pillonetto
Professor of Automatic Control, University of Padova
Overená e-mailová adresa na: dei.unipd.it - Domovská stránka
Názov
Citované v
Citované v
Rok
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
9212014
A new kernel-based approach for linear system identification
G Pillonetto, G De Nicolao
Automatica 46 (1), 81-93, 2010
5462010
Prediction error identification of linear systems: a nonparametric Gaussian regression approach
G Pillonetto, A Chiuso, G De Nicolao
Automatica 47 (2), 291-305, 2011
2492011
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
2292012
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
2282015
A Bayesian approach to sparse dynamic network identification
A Chiuso, G Pillonetto
Automatica 48 (8), 1553-1565, 2012
2092012
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
1952014
System identification: A machine learning perspective
A Chiuso, G Pillonetto
Annual Review of Control, Robotics, and Autonomous Systems 2 (1), 281-304, 2019
1572019
A new kernel-based approach for nonlinearsystem identification
G Pillonetto, MH Quang, A Chiuso
IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011
1372011
Generalized Kalman smoothing: Modeling and algorithms
A Aravkin, JV Burke, L Ljung, A Lozano, G Pillonetto
Automatica 86, 63-86, 2017
1332017
Regularized system identification: Learning dynamic models from data
G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung
Springer Nature, 2022
1202022
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
1182011
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
1172003
Motion planning using adaptive random walks
S Carpin, G Pillonetto
IEEE Transactions on Robotics 21 (1), 129-136, 2005
1132005
An-Laplace Robust Kalman Smoother
AY Aravkin, BM Bell, JV Burke, G Pillonetto
IEEE Transactions on Automatic Control 56 (12), 2898-2911, 2011
1122011
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
1122011
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
922015
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
832016
Sparse/robust estimation and kalman smoothing with nonsmooth log-concave densities: Modeling, computation, and theory
AY Aravkin, JV Burke, G Pillonetto
The Journal of Machine Learning Research 14 (1), 2689-2728, 2013
812013
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
792008
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20