Alessandro Chiuso

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Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
luca schenatoProfessor of Electrical Engineering, University of PadovaVerified email at dei.unipd.it
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Sandro ZampieriUniversita' di PadovaVerified email at dei.unipd.it
Paolo FavaroProfessor of Computer Vision, University of BernVerified email at iam.unibe.ch
Rene VidalRachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCEVerified email at seas.upenn.edu
Gianfranco DorettoWest Virginia UniversityVerified email at mail.wvu.edu
Andrea ZanellaFull Professor of Telecommunications Engineering, University of PadovaVerified email at dei.unipd.it
Nicola LaurentiDepartment of Information Engineering, University of Padua, ItalyVerified email at dei.unipd.it
James V BurkeUniversity of WashingtonVerified email at uw.edu
Aleksandr AravkinUniversity of WashingtonVerified email at uw.edu
Martin S. AndersenTechnical University of DenmarkVerified email at dtu.dk
Subhrakanti DeyProfessor, Uppsala University, SwedenVerified email at angstrom.uu.se
Minh Ha QuangTeam Leader, RIKEN Center for Advanced Intelligence ProjectVerified email at ieee.org
Fabio FagnaniProfessor of Mathematical Analysis, Politecnico di TorinoVerified email at polito.it
Yi Ma (马毅)Director of School of Computing and Data Science, HKU; Professor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Georgios GeorgiadisMicrosoftVerified email at microsoft.com
Alessandro BeghiUniversity of PadovaVerified email at dei.unipd.it
Silvia BonettiniDipartimento di Matematica e Informatica, Università di FerraraVerified email at unife.it

Alessandro Chiuso

Professor of Automatic Control, University of Padova

Verified email at dei.unipd.it - Homepage

Data Driven Control System Identification Machine Learning Dynamic Networks Estimation


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Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International journal of computer vision 51, 91-109, 2003	1175	2003
Distributed Kalman filtering based on consensus strategies R Carli, A Chiuso, L Schenato, S Zampieri IEEE Journal on Selected Areas in communications 26 (4), 622-633, 2008	585	2008
Structure from motion causally integrated over time A Chiuso, P Favaro, H Jin, S Soatto IEEE transactions on pattern analysis and machine intelligence 24 (4), 523-535, 2002	458	2002
Observability of linear hybrid systems R Vidal, A Chiuso, S Soatto, S Sastry International Workshop on Hybrid Systems: Computation and Control, 526-539, 2003	326	2003
The role of vector autoregressive modeling in predictor-based subspace identification A Chiuso Automatica 43 (6), 1034-1048, 2007	317	2007
Consistency analysis of some closed-loop subspace identification methods A Chiuso, G Picci Automatica 41 (3), 377-391, 2005	275	2005
Prediction error identification of linear systems: a nonparametric Gaussian regression approach G Pillonetto, A Chiuso, G De Nicolao Automatica 47 (2), 291-305, 2011	245	2011
Observability and identifiability of jump linear systems R Vidal, A Chiuso, S Soatto Proceedings of the 41st IEEE Conference on Decision and Control, 2002. 4 …, 2002	238	2002
Recognition of human gaits A Bissacco, A Chiuso, Y Ma, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	227	2001
A Bayesian approach to sparse dynamic network identification A Chiuso, G Pillonetto Automatica 48 (8), 1553-1565, 2012	203	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	190	2014
On the relation between CCA and predictor-based subspace identification A Chiuso IEEE Transactions on Automatic Control 52 (10), 1795-1812, 2007	146	2007
System identification: A machine learning perspective A Chiuso, G Pillonetto Annual Review of Control, Robotics, and Autonomous Systems 2 (1), 281-304, 2019	143	2019
A New Kernel-Based Approach for NonlinearSystem Identification G Pillonetto, MH Quang, A Chiuso Automatic Control, IEEE Transactions on 56 (12), 2825-2840, 2011	131	2011
3-D motion and structure from 2-D motion causally integrated over time: Implementation A Chiuso, P Favaro, H Jin, S Soatto Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000	131*	2000
The asymptotic variance of subspace estimates A Chiuso, G Picci Journal of Econometrics 118 (1-2), 257-291, 2004	123	2004
Optimal synchronization for networks of noisy double integrators R Carli, A Chiuso, L Schenato, S Zampieri IEEE Transactions on Automatic Control 56 (5), 1146-1152, 2011	112	2011
A PI consensus controller for networked clocks synchronization R Carli, A Chiuso, L Schenato, S Zampieri IFAC Proceedings Volumes 41 (2), 10289-10294, 2008	111	2008
Optimal structure from motion: Local ambiguities and global estimates A Chiuso, R Brockett, S Soatto International journal of computer vision 39, 195-228, 2000	107	2000
Regularized system identification: Learning dynamic models from data G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung Springer Nature, 2022	103	2022

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