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Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach


Mar 25, 2021
Francesco Zanini, Alessandro Chiuso

* Pre-print submitted for 19th IFAC Symposium, System Identification: learning models for decision and control 

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Derivative-free online learning of inverse dynamics models


Sep 13, 2018
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso

* 14 pages, 11 figures 

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Online semi-parametric learning for inverse dynamics modeling


Oct 09, 2016
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso


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Maximum Entropy Vector Kernels for MIMO system identification


Sep 29, 2016
Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso


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Visual Representations: Defining Properties and Deep Approximations


Feb 29, 2016
Stefano Soatto, Alessandro Chiuso

* UCLA CSD TR140023, Nov. 12, 2014, revised April 13, 2015, November 13, 2015, February 28, 2016 

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On-line Bayesian System Identification


Jan 17, 2016
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso


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A Bayesian Approach to Sparse plus Low rank Network Identification


Sep 26, 2015
Mattia Zorzi, Alessandro Chiuso


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Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint


Jul 02, 2015
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung


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Identification of stable models via nonparametric prediction error methods


Jul 02, 2015
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso

* number of pages = 6, number of figures = 3 

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A scaled gradient projection method for Bayesian learning in dynamical systems


Feb 02, 2015
Silvia Bonettini, Alessandro Chiuso, Marco Prato

* SIAM Journal on Scientific Computing 37 (2015), A1297-A1318 

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Robust Inference for Visual-Inertial Sensor Fusion


Dec 16, 2014
Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto

* Submitted to ICRA 2015, Manuscript #2912. Video results available at: http://youtu.be/5JSF0-DbIRc 

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Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties


Sep 29, 2014
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto

* to appear in IEEE Conference on Decision and Control, 2014 

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Convex vs nonconvex approaches for sparse estimation: GLasso, Multiple Kernel Learning and Hyperparameter GLasso


Feb 27, 2013
Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto

* 50 pages, 12 figures 

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