Alessandro Chiuso

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 50

Top Venues

Publications

Feiran Zhao, Florian Dörfler, Alessandro Chiuso, Keyou You
Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR. CoRR (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)
Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso
Dynamic Brain Networks with Prescribed Functional Connectivity. CDC (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) (2023)
Valentina Breschi, Alessandro Chiuso, Simone Formentin
Data-driven predictive control in a stochastic setting: a unified framework. Autom. 152 (2023)
Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin
Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. CoRR (2023)
Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso
Dynamic Brain Networks with Prescribed Functional Connectivity. CoRR (2023)
Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
On the impact of regularization in data-driven predictive control. CoRR (2023)
Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
On the Impact of Regularization in Data-Driven Predictive Control. CDC (2023)
Francesco Zanini, Alessandro Chiuso
Value-function estimation and uncertainty propagation in Reinforcement Learning: a Koopman operator approach. CDC (2022)
Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso
Uncertainty-aware data-driven predictive control in a stochastic setting. CoRR (2022)
Luca Zancato, Alessandro Chiuso
Sampling matters: SGD smoothing through importance sampling. CDC (2022)
Luca Zancato, A. Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR (2022)
Mirko Mazzoleni, Alessandro Chiuso, Matteo Scandella, Simone Formentin, Fabio Previdi
Kernel-based system identification with manifold regularization: A Bayesian perspective. Autom. 142 (2022)
Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
Generalized DCM models for pre-filtering compensation. CDC (2022)
Valentina Breschi, Alessandro Chiuso, Simone Formentin
The role of regularization in data-driven predictive control. CoRR (2022)
Gianluigi Pillonetto, Alessandro Chiuso
Linear system identification using the sequential stabilizing spline algorithm. Autom. 138 (2022)
Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
Estimating Effective Connectivity using Brain Partitioning. CDC (2021)
Francesco Zanini, Alessandro Chiuso
Data-Driven Control of Nonlinear Systems: Learning Koopman Operators for Policy Gradient. CDC (2021)
Simone Formentin, Alessandro Chiuso
Control-oriented regularization for linear system identification. Autom. 127 (2021)
Francesco Zanini, Alessandro Chiuso
Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach. CoRR (2021)
Luca Zancato, Alessandro Chiuso
A novel Deep Neural Network architecture for non-linear system identification. CoRR (2021)
Alessandro Chiuso, Simone Formentin, Francesco Zanini
Non-iterative control-oriented regularization for linear system identification. CDC (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) (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 (2020)
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
Stable spline identification of linear systems under missing data. Autom. 108 (2019)
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
Stable spline identification of linear systems under missing data. CoRR (2019)
Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto
Bayesian Kernel-Based Linear Control Design. CDC (2019)
Alessandro Chiuso, Gianluigi Pillonetto
System Identification: A Machine Learning Perspective. Annu. Rev. Control. Robotics Auton. Syst. 2 (2019)
Mattia Zorzi, Alessandro Chiuso
The harmonic analysis of kernel functions. Autom. 94 (2018)
Simone Formentin, Alessandro Chiuso
CoRe: Control-oriented Regularization for System Identification. CDC (2018)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
Derivative-free online learning of inverse dynamics models. CoRR (2018)
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
The role of noise modeling in the estimation of resting-state brain effective connectivity. CoRR (2018)
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder-Decoder-Controller Design. IEEE Trans. Autom. Control. 62 (6) (2017)
Mattia Zorzi, Alessandro Chiuso
Sparse plus low rank network identification: A nonparametric approach. Autom. 76 (2017)
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
Estimating effective connectivity in linear brain network models. CDC (2017)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Maximum Entropy vector kernels for MIMO system identification. Autom. 79 (2017)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso
Online semi-parametric learning for inverse dynamics modeling. CDC (2016)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. 66 (2016)
Stefano Soatto, Alessandro Chiuso
Modeling Visual Representations: Defining Properties and Deep Approximations ICLR (Poster) (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian system identification. ECC (2016)
Alessandro Chiuso
Regularization and Bayesian learning in dynamical systems: Past, present and future. Annu. Rev. Control. 41 (2016)
Giulia Prando, Diego Romeres, Alessandro Chiuso
Online Identification of Time-Varying Systems: a Bayesian approach. CoRR (2016)
Gianmarco Rallo, Simone Formentin, Alessandro Chiuso, Sergio M. Savaresi
Virtual reference feedback tuning with Bayesian regularization. ECC (2016)
Diego Romeres, Mattia Zorzi, Alessandro Chiuso
Online semi-parametric learning for inverse dynamics modeling. CoRR (2016)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. 69 (2016)
Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian System Identification. CoRR (2016)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Continuous-time DC kernel - A stable generalized first order spline kernel. CDC (2016)
Giulia Prando, Diego Romeres, Alessandro Chiuso
Online identification of time-varying systems: A Bayesian approach. CDC (2016)
Giulia Prando, Alessandro Chiuso
Model reduction for linear bayesian system identification. CDC (2015)
Georgios Georgiadis, Alessandro Chiuso, Stefano Soatto
Texture representations for image and video synthesis. CVPR (2015)
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
Linear encoder-decoder-controller design over channels with packet loss and quantization noise. ECC (2015)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR (2015)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR (2015)
Alessandro Chiuso
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future. CoRR (2015)
Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
Maximum Entropy Vector Kernels for MIMO system identification. CoRR (2015)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Spectral analysis of the DC kernel for regularized system identification. CDC (2015)
Silvia Bonettini, Alessandro Chiuso, Marco Prato
A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems. SIAM J. Sci. Comput. 37 (3) (2015)
Mattia Zorzi, Alessandro Chiuso
A Bayesian approach to sparse plus low rank network identification. CDC (2015)
Gianluigi Pillonetto, Alessandro Chiuso
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator. Autom. 58 (2015)
Stefano Soatto, Alessandro Chiuso
Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations. ICLR (Workshop) (2015)
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Identification of stable models via nonparametric prediction error methods. ECC (2015)
Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto
Robust inference for visual-inertial sensor fusion. ICRA (2015)
Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto
Robust Inference for Visual-Inertial Sensor Fusion. CoRR (2014)
Gianluigi Pillonetto, Alessandro Chiuso
Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator. ECC (2014)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties. CDC (2014)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. CoRR (2014)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
On the design of multiple kernels for nonparametric linear system identification. CDC (2014)
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
Remote Estimation With Noisy Measurements Subject to Packet Loss and Quantization Noise. IEEE Trans. Control. Netw. Syst. 1 (3) (2014)
Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and nonparametric methods for system identification and model selection. ECC (2014)
Silvia Bonettini, Alessandro Chiuso, Marco Prato
A scaled gradient projection method for Bayesian learning in dynamical systems. CoRR (2014)
Alessandro Chiuso, Nicola Laurenti, Luca Schenato, Andrea Zanella
LQG-like control of scalar systems over communication channels: The role of data losses, delays and SNR limitations. Autom. 50 (12) (2014)
Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. 59 (11) (2014)
Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC (2014)
Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso. J. Mach. Learn. Res. 15 (1) (2014)
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
Control recognition bounds for visual learning and exploration. ITA (2013)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
Regularization strategies for nonparametric system identification. CDC (2013)
Georgios Georgiadis, Alessandro Chiuso, Stefano Soatto
Texture Compression. DCC (2013)
Alessandro Chiuso, Nicola Laurenti, Luca Schenato, Andrea Zanella
LQG cheap control subject to packet loss and SNR limitations. ECC (2013)
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
Remote estimation subject to packet loss and quantization noise. CDC (2013)
Alessandro Chiuso, Nicola Laurenti, Luca Schenato, Andrea Zanella
LQG cheap control over SNR-limited lossy channels with delay. CDC (2013)
Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
Rank-1 kernels for regularized system identification. CDC (2013)
Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels. CDC (2012)
Alessandro Chiuso, Gianluigi Pillonetto
A Bayesian approach to sparse dynamic network identification. Autom. 48 (8) (2012)
Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC (2012)
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
Controlled Recognition Bounds for Visual Learning and Exploration. NIPS (2012)
Ruggero Carli, Alessandro Chiuso, Luca Schenato, Sandro Zampieri
Optimal Synchronization for Networks of Noisy Double Integrators. IEEE Trans. Autom. Control. 56 (5) (2011)
Gianluigi Pillonetto, Minh Ha Quang, Alessandro Chiuso
A New Kernel-Based Approach for NonlinearSystem Identification. IEEE Trans. Autom. Control. 56 (12) (2011)
Alessandro Chiuso, Fabio Fagnani, Luca Schenato, Sandro Zampieri
Gossip Algorithms for Simultaneous Distributed Estimation and Classification in Sensor Networks. IEEE J. Sel. Top. Signal Process. 5 (4) (2011)
Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. CDC/ECC (2011)
Alessandro Chiuso, Fabio Fagnani, Luca Schenato, Sandro Zampieri
Gossip algorithms for distributed ranking. ACC (2011)
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
Prediction error identification of linear systems: A nonparametric Gaussian regression approach. Autom. 47 (2) (2011)
Alessandro Chiuso, Luca Schenato
Information fusion strategies and performance bounds in packet-drop networks. Autom. 47 (7) (2011)
Stefano Soatto, Alessandro Chiuso
Controlled Recognition Bounds for Scaling and Occlusion Channels. DCC (2011)
Alessandro Chiuso
On the Asymptotic Properties of Closed-Loop CCA-Type Subspace Algorithms: Equivalence Results and Role of the Future Horizon. IEEE Trans. Autom. Control. 55 (3) (2010)
Alessandro Chiuso, Riccardo Muradore, Enrico Marchetti
Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach. IEEE Trans. Control. Syst. Technol. 18 (3) (2010)
Alessandro Chiuso, Gianluigi Pillonetto
Nonparametric sparse estimators for identification of large scale linear systems. CDC (2010)
Alessandro Chiuso, Riccardo Muradore, Emmanuel Aller-Carpentier
Sparse calibration of an extreme Adaptive Optics system. CDC (2010)
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels. ACC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alessandro Chiuso