A. Chiuso

R. Brockett, Stefano Soatto, A. Chiuso, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Some identification techniques in computer vision

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 2008, 2008 47th IEEE Conference on Decision and Control.

Dynamic Data Factorization

Stefano Soatto, A. Chiuso, 2001 .

Deep learning-based Phase Retrieval Scheme for Minimum Phase Signal Recovery

A. Chiuso, L. Palmieri, A. Mecozzi, 2022, 2022 Italian Conference on Optics and Photonics (ICOP).

Machine learning method of phase extraction in distributed acoustic sensing scheme based on optical frequency domain reflectometry

A. Chiuso, L. Palmieri, A. Galtarossa, 2022, 27th International Conference on Optical Fiber Sensors.

Data-driven predictive control in a stochastic setting: a unified framework

A. Chiuso, S. Formentin, V. Breschi, 2022, Autom..

Modeling Visual Representations: Defining Properties and Deep Approximations pdf

Stefano Soatto, Alessandro Chiuso, Stefano Soatto, 2016, ICLR.

Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations

Stefano Soatto, Alessandro Chiuso, Stefano Soatto, 2014, ICLR.

Regularization and Bayesian learning in dynamical systems: Past, present and future

Alessandro Chiuso, A. Chiuso, 2015, Annu. Rev. Control..

Identification of stable models via nonparametric prediction error methods

Alessandro Chiuso, Gianluigi Pillonetto, Diego Romeres, 2015, 2015 European Control Conference (ECC).

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

Alessandro Chiuso, Gianluigi Pillonetto, Giulia Prando, 2014, 53rd IEEE Conference on Decision and Control.

Prediction error identification of linear systems: A nonparametric Gaussian regression approach

Roland Tóth, Gianluigi Pillonetto, Mohamed Abdelmonim Hassan Darwish, 2011, Autom..

Regularized estimation of sums of exponentials in spaces generated by stable spline kernels

Alessandro Chiuso, Giuseppe De Nicolao, Gianluigi Pillonetto, 2010, Proceedings of the 2010 American Control Conference.

Fast computation of smoothing splines subject to equality constraints

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2009, Autom..

Predictor estimation via Gaussian regression

Alessandro Chiuso, Giuseppe De Nicolao, Gianluigi Pillonetto, 2008, 2008 47th IEEE Conference on Decision and Control.

Learning and exploiting invariants for multi-target tracking and data association

A. Chiuso, R. Frezza, A. Chiuso, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Integration of shape constraints in data association filters

A. Chiuso, R. Frezza, F. Cuzzolin, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Integrating shape and dynamic probabilistic models for data association and tracking

Ruggero Frezza, Alessandro Chiuso, Fabio Cuzzolin, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport

Stefano Soatto, Alessandro Chiuso, Alessandro Bissacco, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling and Synthesis of Facial Motion Driven by Speech

Payam Saisan, Stefano Soatto, Alessandro Chiuso, 2004, ECCV.

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

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2015, Autom..

Texture representations for image and video synthesis

Stefano Soatto, Alessandro Chiuso, Georgios Georgiadis, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2010, NIPS.

The role of regularization in data-driven predictive control

A. Chiuso, S. Formentin, V. Breschi, 2022, ArXiv.

Observability of Linear Hybrid Systems

S. Shankar Sastry, Stefano Soatto, René Vidal, 2003, HSCC.

Dynamic Textures

Y. Wu, Stefano Soatto, A. Chiuso, 2003, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Recognition of human gaits

Stefano Soatto, Alessandro Chiuso, Yi Ma, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach

Riccardo Muradore, Alessandro Chiuso, Enrico Marchetti, 2008, IEEE Transactions on Control Systems Technology.

Stable spline identification of linear systems under missing data pdf

Alessandro Chiuso, Giuseppe De Nicolao, Gianluigi Pillonetto, 2019, Autom..

Online semi-parametric learning for inverse dynamics modeling

Alessandro Chiuso, Mattia Zorzi, Diego Romeres, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Performance bounds for information fusion strategies in packet-drop networks

Alessandro Chiuso, Luca Schenato, A. Chiuso, 2009, 2009 European Control Conference (ECC).

Information fusion strategies from distributed filters in packet-drop networks

Alessandro Chiuso, Luca Schenato, A. Chiuso, 2008, 2008 47th IEEE Conference on Decision and Control.

Derivative-Free Online Learning of Inverse Dynamics Models

Alessandro Chiuso, Mattia Zorzi, Raffaello Camoriano, 2018, IEEE Transactions on Control Systems Technology.

LQG-like control of scalar systems over communication channels: The role of data losses, delays and SNR limitations

Andrea Zanella, Alessandro Chiuso, Nicola Laurenti, 2014, Autom..

Remote Estimation With Noisy Measurements Subject to Packet Loss and Quantization Noise

Alessandro Chiuso, Subhrakanti Dey, Luca Schenato, 2014, IEEE Transactions on Control of Network Systems.

Remote estimation subject to packet loss and quantization noise

Alessandro Chiuso, Subhrakanti Dey, Luca Schenato, 2013, 52nd IEEE Conference on Decision and Control.

LQG cheap control over SNR-limited lossy channels with delay

Andrea Zanella, Alessandro Chiuso, Nicola Laurenti, 2013, 52nd IEEE Conference on Decision and Control.

LQG cheap control subject to packet loss and SNR limitations

Andrea Zanella, Alessandro Chiuso, Nicola Laurenti, 2013, 2013 European Control Conference (ECC).

LQG control subject to intermittent observations and SNR limitations

Laura Dal Col, Andrea Zanella, Alessandro Chiuso, 2012 .

Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2015, Autom..

Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets

Alessandro Chiuso, Gianluigi Pillonetto, Giulia Prando, 2015, 2016 European Control Conference (ECC).

A note on estimation using quantized data

Alessandro Chiuso, A. Chiuso, 2008 .

Wide-Sense Estimation on the Special Orthogonal Group

Stefano Soatto, Alessandro Chiuso, Giorgio Picci, 2008, Commun. Inf. Syst..

A wide-sense estimation theory on the unit sphere

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Visual tracking of points as estimation on the unit sphere

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 1997, Block Island Workshop on Vision and Control.

On the ill-conditioning of subspace identification with inputs

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 2004, Autom..

Distributed Kalman filtering using consensus strategies

Ruggero Carli, Alessandro Chiuso, Sandro Zampieri, 2007, 2007 46th IEEE Conference on Decision and Control.

Distributed Kalman filtering based on consensus strategies

Ruggero Carli, Alessandro Chiuso, Sandro Zampieri, 2008, IEEE Journal on Selected Areas in Communications.

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2014, IEEE Transactions on Automatic Control.

On the Asymptotic Properties of Closed-Loop CCA-Type Subspace Algorithms: Equivalence Results and Role of the Future Horizon

Alessandro Chiuso, A. Chiuso, 2010, IEEE Transactions on Automatic Control.

On the Relation Between CCA and Predictor-Based Subspace Identification

Alessandro Chiuso, A. Chiuso, 2005, IEEE Transactions on Automatic Control.

System Identification: A Machine Learning Perspective

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2019, Annu. Rev. Control. Robotics Auton. Syst..

Macroscale coupling between structural and effective connectivity in the mouse brain

A. Chiuso, A. Bertoldo, A. Gozzi, 2023, bioRxiv.

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data

Maurizio Corbetta, Alessandro Chiuso, Alessandra Bertoldo, 2019, NeuroImage.

Information fusion strategies and performance bounds in packet-drop networks

Alessandro Chiuso, Luca Schenato, A. Chiuso, 2011, Autom..

Bayesian Kernel-Based Linear Control Design

Simone Formentin, Alessandro Chiuso, Gianluigi Pillonetto, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

On-line Bayesian system identification

Alessandro Chiuso, Gianluigi Pillonetto, Giulia Prando, 2016, 2016 European Control Conference (ECC).

Sparse plus low rank network identification: A nonparametric approach

Alessandro Chiuso, Mattia Zorzi, A. Chiuso, 2015, Autom..

Maximum Entropy vector kernels for MIMO system identification

Alessandro Chiuso, Gianluigi Pillonetto, Giulia Prando, 2015, Autom..

A Bayesian approach to sparse plus low rank network identification

Alessandro Chiuso, Mattia Zorzi, A. Chiuso, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems

Alessandro Chiuso, Marco Prato, Silvia Bonettini, 2014, SIAM J. Sci. Comput..

Control recognition bounds for visual learning and exploration

Stefano Soatto, Alessandro Chiuso, Vasiliy Karasev, 2012, 2013 Information Theory and Applications Workshop (ITA).

A Bayesian approach to sparse dynamic network identification

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2012, Autom..

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

Alessandro Chiuso, Aleksandr Y. Aravkin, James V. Burke, 2013, 1302.6434.

Nonparametric sparse estimators for identification of large scale linear systems

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2010, 49th IEEE Conference on Decision and Control (CDC).

Consistency analysis of some closed-loop subspace identification methods

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 2005, Autom..

Linear encoder-decoder-controller design over channels with packet loss and quantization noise

Alessandro Chiuso, Subhrakanti Dey, Luca Schenato, 2015, 2015 European Control Conference (ECC).

Numerical conditioning and asymptotic variance of subspace estimates

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 2004, Autom..

Optimal Synchronization for Networks of Noisy Double Integrators

Ruggero Carli, Alessandro Chiuso, Sandro Zampieri, 2011, IEEE Transactions on Automatic Control.

Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor

A. Chiuso, L. Palmieri, A. Galtarossa, 2022, Italian National Conference on Sensors.

The role of vector autoregressive modeling in predictor-based subspace identification

Alessandro Chiuso, A. Chiuso, 2007, Autom..

Continuous-time DC kernel — A stable generalized first order spline kernel

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach pdf

Alessandro Chiuso, Francesco Zanini, A. Chiuso, 2021, IFAC-PapersOnLine.

Controlling target brain regions by optimal selection of input nodes

A. Chiuso, S. Suweis, M. Corbetta, 2023, bioRxiv.

Controlled Recognition Bounds for Scaling and Occlusion Channels

Stefano Soatto, Alessandro Chiuso, Stefano Soatto, 2011, 2011 Data Compression Conference.

Regularized System Identification

L. Ljung, Tianshi Chen, G. Pillonetto, 2022, Communications and Control Engineering.

Structure from Motion Causally Integrated Over Time

Stefano Soatto, Alessandro Chiuso, Hailin Jin, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Spectral analysis of the DC kernel for regularized system identification

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

The harmonic analysis of kernel functions

Alessandro Chiuso, Mattia Zorzi, A. Chiuso, 2017, Autom..

Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso

Alessandro Chiuso, Aleksandr Y. Aravkin, James V. Burke, 2014, J. Mach. Learn. Res..

Deep Learning-Based Phase Retrieval Scheme for Minimum-Phase Signal Recovery

A. Chiuso, L. Palmieri, A. Mecozzi, 2023, Journal of Lightwave Technology.

Phase Retrieval Receiver Based on Deep Learning for Minimum-phase Signal Recovery

A. Chiuso, L. Palmieri, A. Mecozzi, 2022, European Conference on Optical Communication.

Linear system identification using the sequential stabilizing spline algorithm

G. Pillonetto, A. Chiuso, 2022, Autom..

Identification of stable linear systems via the sequential stabilizing spline algorithm

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2018 .

Subspace identification by data orthogonalization and model decoupling

Alessandro Chiuso, Giorgio Picci, A. Chiuso, 2003, Autom..

Applications of hybrid system identification in computer vision

Stefano Soatto, Alessandro Chiuso, Rene Vidal, 2007, 2007 European Control Conference (ECC).

A New Kernel-Based Approach for NonlinearSystem Identification

Alessandro Chiuso, Gianluigi Pillonetto, Ha Quang Minh, 2011, IEEE Transactions on Automatic Control.

Prediction error identification of linear systems: A nonparametric Gaussian regression approach

Alessandro Chiuso, Giuseppe De Nicolao, Gianluigi Pillonetto, 2011, Autom..

Non-iterative control-oriented regularization for linear system identification

Simone Formentin, Alessandro Chiuso, Francesco Zanini, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

CoRe: Control-oriented Regularization for System Identification

Simone Formentin, Alessandro Chiuso, A. Chiuso, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Virtual reference feedback tuning with Bayesian regularization

Sergio M. Savaresi, Gianmarco Rallo, Simone Formentin, 2016, 2016 European Control Conference (ECC).

Model reduction for linear bayesian system identification

Alessandro Chiuso, Giulia Prando, A. Chiuso, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Maximum entropy properties of discrete-time first-order stable spline kernel

Lennart Ljung, Francesca P. Carli, Tianshi Chen, 2014, Autom..

Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2014, 2014 European Control Conference (ECC).

Regularization strategies for nonparametric system identification

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2013, 52nd IEEE Conference on Decision and Control.

Sparse multiple kernels for impulse response estimation with majorization minimization algorithms

Lennart Ljung, Francesca P. Carli, Tianshi Chen, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels

Lennart Ljung, Tianshi Chen, Ruggero Carli, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

A Bayesian learning approach to linear system identification with missing data

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

PI-shaped LQG control design for adaptive optics systems

Riccardo Muradore, Alessandro Chiuso, Jacopo Mocci, 2020 .

Sensor fusion and estimation strategies for data traffic reduction in rooted wireless sensor networks

A. Chiuso, L. Schenato, A. Agnoli, 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

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

J. Burke, G. Pillonetto, A. Chiuso, 2011, IEEE Conference on Decision and Control and European Control Conference.

Sparse calibration of an extreme Adaptive Optics system

Riccardo Muradore, Alessandro Chiuso, Emmanuel Aller-Carpentier, 2010, 49th IEEE Conference on Decision and Control (CDC).

Non Linear Temporal Textures Synthesis: A Monte Carlo Approach

Andrea Masiero, Alessandro Chiuso, A. Chiuso, 2006, ECCV.

The role of rank penalties in linear system identification

Alessandro Chiuso, Gianluigi Pillonetto, G. Pillonetto, 2015 .

Monte Carlo filtering on Lie groups

Stefano Soatto, Alessandro Chiuso, Stefano Soatto, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder–Decoder–Controller Design

Alessandro Chiuso, Subhrakanti Dey, Luca Schenato, 2017, IEEE Transactions on Automatic Control.

Online identification of time-varying systems: A Bayesian approach

Alessandro Chiuso, Giulia Prando, Diego Romeres, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

On the design of multiple kernels for nonparametric linear system identification

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2014, 53rd IEEE Conference on Decision and Control.

Rank-1 kernels for regularized system identification

Lennart Ljung, Tianshi Chen, Alessandro Chiuso, 2013, 52nd IEEE Conference on Decision and Control.