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- Alessandro Chiuso
University of Padova, Department of Information Engineering, Italy
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Publication search results
found 145 matches
- 2024
- Karan Kabbur Hanumanthappa Manjunatha, Giorgia Baron, Danilo Benozzo, Erica Silvestri, Maurizio Corbetta, Alessandro Chiuso, Alessandra Bertoldo, Samir Suweis, Michele Allegra:
Controlling target brain regions by optimal selection of input nodes. PLoS Comput. Biol. 20(1) (2024) - Feiran Zhao, Florian Dörfler, Alessandro Chiuso, Keyou You:
Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR. CoRR abs/2401.14871 (2024) - 2023
- Valentina Breschi, Alessandro Chiuso, Simone Formentin:
Data-driven predictive control in a stochastic setting: a unified framework. Autom. 152: 110961 (2023) - Arman Aitkulov, Leonardo Marcon, Alessandro Chiuso, Luca Palmieri, Andrea Galtarossa:
Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor. Sensors 23(1): 262 (2023) - Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the Impact of Regularization in Data-Driven Predictive Control. CDC 2023: 3061-3066 - Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso:
Dynamic Brain Networks with Prescribed Functional Connectivity. CDC 2023: 709-714 - Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the impact of regularization in data-driven predictive control. CoRR abs/2304.00263 (2023) - Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso:
Dynamic Brain Networks with Prescribed Functional Connectivity. CoRR abs/2310.07262 (2023) - Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin:
Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. CoRR abs/2312.14788 (2023) - 2022
- Mirko Mazzoleni, Alessandro Chiuso, Matteo Scandella, Simone Formentin, Fabio Previdi:
Kernel-based system identification with manifold regularization: A Bayesian perspective. Autom. 142: 110419 (2022) - Gianluigi Pillonetto, Alessandro Chiuso:
Linear system identification using the sequential stabilizing spline algorithm. Autom. 138: 110169 (2022) - Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
Generalized DCM models for pre-filtering compensation. CDC 2022: 880-885 - Luca Zancato, Alessandro Chiuso:
Sampling matters: SGD smoothing through importance sampling. CDC 2022: 3359-3364 - Francesco Zanini, Alessandro Chiuso:
Value-function estimation and uncertainty propagation in Reinforcement Learning: a Koopman operator approach. CDC 2022: 777-782 - Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto:
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR abs/2202.12457 (2022) - Valentina Breschi, Alessandro Chiuso, Simone Formentin:
The role of regularization in data-driven predictive control. CoRR abs/2203.10846 (2022) - Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso:
Uncertainty-aware data-driven predictive control in a stochastic setting. CoRR abs/2211.10321 (2022) - 2021
- Simone Formentin, Alessandro Chiuso:
Control-oriented regularization for linear system identification. Autom. 127: 109539 (2021) - Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
Estimating Effective Connectivity using Brain Partitioning. CDC 2021: 1574-1579 - Francesco Zanini, Alessandro Chiuso:
Data-Driven Control of Nonlinear Systems: Learning Koopman Operators for Policy Gradient. CDC 2021: 6491-6496 - Francesco Zanini, Alessandro Chiuso:
Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach. CoRR abs/2103.13752 (2021) - Luca Zancato, Alessandro Chiuso:
A novel Deep Neural Network architecture for non-linear system identification. CoRR abs/2106.03078 (2021) - 2020
- Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Maurizio Corbetta, Marco Zorzi, Alessandro Chiuso:
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage 208: 116367 (2020) - Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso:
Derivative-Free Online Learning of Inverse Dynamics Models. IEEE Trans. Control. Syst. Technol. 28(3): 816-830 (2020) - Alessandro Chiuso, Simone Formentin, Francesco Zanini:
Non-iterative control-oriented regularization for linear system identification. CDC 2020: 2252-2257 - 2019
- Alessandro Chiuso, Gianluigi Pillonetto:
System Identification: A Machine Learning Perspective. Annu. Rev. Control. Robotics Auton. Syst. 2: 281-304 (2019) - Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao:
Stable spline identification of linear systems under missing data. Autom. 108 (2019) - Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto:
Bayesian Kernel-Based Linear Control Design. CDC 2019: 822-827 - Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao:
Stable spline identification of linear systems under missing data. CoRR abs/1908.03913 (2019) - 2018
- Mattia Zorzi, Alessandro Chiuso:
The harmonic analysis of kernel functions. Autom. 94: 125-137 (2018)
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