Alessandro Chiuso

156 papers A* 3B 2C 5Misc 1Journal 76Unranked 68
YearRankTypeTitle / Venue / Authors
2026 J jnl
Taming non-linearity with local data-driven predictive control.
IFAC J. Syst. Control.
Lorenzo Pasini, Mattia Bruschetta, Alessandro Chiuso
2025 J jnl
Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR.
IEEE Trans. Autom. Control.
Feiran Zhao, Florian Dörfler, Alessandro Chiuso, Keyou You
2025 J jnl
Grid-Connected, Data-Driven Inverter Control, Theory to Hardware.
CoRR
Sebastian Graf, Keith Moffat, Anurag Mohapatra, Alessandro Chiuso, Florian Dörfler
2025 J jnl
Harnessing uncertainty for a separation principle in direct data-driven predictive control.
Autom.
Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin
2025 J jnl
Policy Gradient Adaptive Control for the LQR: Indirect and Direct Approaches.
CoRR
Feiran Zhao, Alessandro Chiuso, Florian Dörfler
2025 J jnl
Regularization for Covariance Parameterization of Direct Data-Driven LQR Control.
CoRR
Feiran Zhao, Alessandro Chiuso, Florian Dörfler
2025 J jnl
Regularization for Covariance Parameterization of Direct Data-Driven LQR Control.
IEEE Control. Syst. Lett.
Feiran Zhao, Alessandro Chiuso, Florian Dörfler
2025 — conf
The Bias of Subspace-based Data-Driven Predictive Control.
ECC
Keith Moffat, Florian Dörfler, Alessandro Chiuso
2025 J jnl
The Bias of Subspace-based Data-Driven Predictive Control.
CoRR
Keith Moffat, Florian Dörfler, Alessandro Chiuso
2024 J jnl
Controlling target brain regions by optimal selection of input nodes.
PLoS Comput. Biol.
Karan Kabbur Hanumanthappa Manjunatha, Giorgia Baron, Danilo Benozzo, Erica Silvestri, Maurizio Corbetta, Alessandro Chiuso, Alessandra Bertoldo, Samir Suweis, Michele Allegra
2024 J jnl
Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR.
CoRR
Feiran Zhao, Florian Dörfler, Alessandro Chiuso, Keyou You
2024 C conf
Simulation of Nonlinear Systems Trajectories: between Models and Behaviors
CoDIT
Antonio Fazzi, Alessandro Chiuso
2024 — conf
The Transient Predictor.
CDC
Keith Moffat, Florian Dörfler, Alessandro Chiuso
2023 J jnl
Data-driven predictive control in a stochastic setting: a unified framework.
Autom.
Valentina Breschi, Alessandro Chiuso, Simone Formentin
2023 — conf
Dynamic Brain Networks with Prescribed Functional Connectivity.
CDC
Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso
2023 J jnl
Dynamic Brain Networks with Prescribed Functional Connectivity.
CoRR
Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso
2023 J jnl
Harnessing the Final Control Error for Optimal Data-Driven Predictive Control.
CoRR
Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin
2023 J jnl
Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor.
Sensors
Arman Aitkulov, Leonardo Marcon, Alessandro Chiuso, Luca Palmieri, Andrea Galtarossa
2023 — conf
On the Impact of Regularization in Data-Driven Predictive Control.
CDC
Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
2023 J jnl
On the impact of regularization in data-driven predictive control.
CoRR
Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
2022 — conf
Generalized DCM models for pre-filtering compensation.
CDC
Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
2022 J jnl
Kernel-based system identification with manifold regularization: A Bayesian perspective.
Autom.
Mirko Mazzoleni, Alessandro Chiuso, Matteo Scandella, Simone Formentin, Fabio Previdi
2022 J jnl
Linear system identification using the sequential stabilizing spline algorithm.
Autom.
Gianluigi Pillonetto, Alessandro Chiuso
2022 — conf
Sampling matters: SGD smoothing through importance sampling.
CDC
Luca Zancato, Alessandro Chiuso
2022 J jnl
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection.
CoRR
Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
2022 J jnl
The role of regularization in data-driven predictive control.
CoRR
Valentina Breschi, Alessandro Chiuso, Simone Formentin
2022 J jnl
Uncertainty-aware data-driven predictive control in a stochastic setting.
CoRR
Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso
2022 — conf
Value-function estimation and uncertainty propagation in Reinforcement Learning: a Koopman operator approach.
CDC
Francesco Zanini, Alessandro Chiuso
2021 J jnl
A novel Deep Neural Network architecture for non-linear system identification.
CoRR
Luca Zancato, Alessandro Chiuso
2021 J jnl
Control-oriented regularization for linear system identification.
Autom.
Simone Formentin, Alessandro Chiuso
2021 — conf
Data-Driven Control of Nonlinear Systems: Learning Koopman Operators for Policy Gradient.
CDC
Francesco Zanini, Alessandro Chiuso
2021 — conf
Estimating Effective Connectivity using Brain Partitioning.
CDC
Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
2021 J jnl
Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach.
CoRR
Francesco Zanini, Alessandro Chiuso
2020 J jnl
Derivative-Free Online Learning of Inverse Dynamics Models.
IEEE Trans. Control. Syst. Technol.
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
2020 — conf
Non-iterative control-oriented regularization for linear system identification.
CDC
Alessandro Chiuso, Simone Formentin, Francesco Zanini
2020 J jnl
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data.
NeuroImage
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Maurizio Corbetta, Marco Zorzi, Alessandro Chiuso
2019 — conf
Bayesian Kernel-Based Linear Control Design.
CDC
Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto
2019 J jnl
Stable spline identification of linear systems under missing data.
Autom.
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2019 J jnl
Stable spline identification of linear systems under missing data.
CoRR
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2019 J jnl
System Identification: A Machine Learning Perspective.
Annu. Rev. Control. Robotics Auton. Syst.
Alessandro Chiuso, Gianluigi Pillonetto
2018 — conf
CoRe: Control-oriented Regularization for System Identification.
CDC
Simone Formentin, Alessandro Chiuso
2018 J jnl
Derivative-free online learning of inverse dynamics models.
CoRR
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
2018 J jnl
The harmonic analysis of kernel functions.
Autom.
Mattia Zorzi, Alessandro Chiuso
2018 J jnl
The role of noise modeling in the estimation of resting-state brain effective connectivity.
CoRR
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
2017 — conf
Estimating effective connectivity in linear brain network models.
CDC
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
2017 J jnl
Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder-Decoder-Controller Design.
IEEE Trans. Autom. Control.
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
2017 J jnl
Maximum Entropy vector kernels for MIMO system identification.
Autom.
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
2017 J jnl
Sparse plus low rank network identification: A nonparametric approach.
Autom.
Mattia Zorzi, Alessandro Chiuso
2016 — conf
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets.
ECC
Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
2016 — conf
Continuous-time DC kernel - A stable generalized first order spline kernel.
CDC
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
2016 J jnl
Maximum entropy properties of discrete-time first-order stable spline kernel.
Autom.
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2016 A* conf
Modeling Visual Representations: Defining Properties and Deep Approximations
ICLR (Poster)
Stefano Soatto, Alessandro Chiuso
2016 J jnl
On-line Bayesian System Identification.
CoRR
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2016 — conf
On-line Bayesian system identification.
ECC
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2016 J jnl
Online Identification of Time-Varying Systems: a Bayesian approach.
CoRR
Giulia Prando, Diego Romeres, Alessandro Chiuso
2016 — conf
Online identification of time-varying systems: A Bayesian approach.
CDC
Giulia Prando, Diego Romeres, Alessandro Chiuso
2016 — conf
Online semi-parametric learning for inverse dynamics modeling.
CDC
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso
2016 J jnl
Online semi-parametric learning for inverse dynamics modeling.
CoRR
Diego Romeres, Mattia Zorzi, Alessandro Chiuso
2016 J jnl
Regularization and Bayesian learning in dynamical systems: Past, present and future.
Annu. Rev. Control.
Alessandro Chiuso
2016 J jnl
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint.
Autom.
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
2016 — conf
Virtual reference feedback tuning with Bayesian regularization.
ECC
Gianmarco Rallo, Simone Formentin, Alessandro Chiuso, Sergio M. Savaresi
2015 — conf
A Bayesian approach to sparse plus low rank network identification.
CDC
Mattia Zorzi, Alessandro Chiuso
2015 J jnl
A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems.
SIAM J. Sci. Comput.
Silvia Bonettini, Alessandro Chiuso, Marco Prato
2015 — conf
Identification of stable models via nonparametric prediction error methods.
ECC
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
2015 — conf
Linear encoder-decoder-controller design over channels with packet loss and quantization noise.
ECC
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
2015 J jnl
Maximum Entropy Vector Kernels for MIMO system identification.
CoRR
Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2015 J jnl
Maximum entropy properties of discrete-time first-order stable spline kernel.
CoRR
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2015 — conf
Model reduction for linear bayesian system identification.
CDC
Giulia Prando, Alessandro Chiuso
2015 J jnl
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future.
CoRR
Alessandro Chiuso
2015 J jnl
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint.
CoRR
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
2015 A* conf
Robust inference for visual-inertial sensor fusion.
ICRA
Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto
2015 — conf
Spectral analysis of the DC kernel for regularized system identification.
CDC
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
2015 — ch.
System Identification Techniques: Convexification, Regularization, and Relaxation.
Encyclopedia of Systems and Control
Alessandro Chiuso
2015 A* conf
Texture representations for image and video synthesis.
CVPR
Georgios Georgiadis, Alessandro Chiuso, Stefano Soatto
2015 J jnl
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator.
Autom.
Gianluigi Pillonetto, Alessandro Chiuso
2015 — conf
Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations.
ICLR (Workshop)
Stefano Soatto, Alessandro Chiuso
2014 J jnl
A scaled gradient projection method for Bayesian learning in dynamical systems.
CoRR
Silvia Bonettini, Alessandro Chiuso, Marco Prato
2014 — conf
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.
CDC
Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2014 — conf
Bayesian and nonparametric methods for system identification and model selection.
ECC
Alessandro Chiuso, Gianluigi Pillonetto
2014 — conf
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties.
CDC
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
2014 J jnl
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties.
CoRR
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
2014 J jnl
Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso.
J. Mach. Learn. Res.
Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
2014 J jnl
LQG-like control of scalar systems over communication channels: The role of data losses, delays and SNR limitations.
Autom.
Alessandro Chiuso, Nicola Laurenti, Luca Schenato, Andrea Zanella
2014 — conf
On the design of multiple kernels for nonparametric linear system identification.
CDC
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
2014 J jnl
Remote Estimation With Noisy Measurements Subject to Packet Loss and Quantization Noise.
IEEE Trans. Control. Netw. Syst.
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
2014 J jnl
Robust Inference for Visual-Inertial Sensor Fusion.
CoRR
Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto
2014 J jnl
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.
IEEE Trans. Autom. Control.
Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
2014 — conf
Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator.
ECC
Gianluigi Pillonetto, Alessandro Chiuso
2013 Misc conf
Control recognition bounds for visual learning and exploration.
ITA
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
2013 — conf
LQG cheap control over SNR-limited lossy channels with delay.
CDC
Alessandro Chiuso, Nicola Laurenti, Luca Schenato, Andrea Zanella
2013 — conf
LQG cheap control subject to packet loss and SNR limitations.
ECC
Alessandro Chiuso, Nicola Laurenti, Luca Schenato, Andrea Zanella
2013 — conf
Rank-1 kernels for regularized system identification.
CDC
Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2013 — conf
Regularization strategies for nonparametric system identification.
CDC
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
2013 — conf
Remote estimation subject to packet loss and quantization noise.
CDC
Subhrakanti Dey, Alessandro Chiuso, Luca Schenato
2013 B conf
Texture Compression.
DCC
Georgios Georgiadis, Alessandro Chiuso, Stefano Soatto
2012 J jnl
A Bayesian approach to sparse dynamic network identification.
Autom.
Alessandro Chiuso, Gianluigi Pillonetto
2012 — conf
Controlled Recognition Bounds for Visual Learning and Exploration.
NIPS
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
2012 — conf
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels.
CDC
Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2012 — conf
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.
CDC
Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
2011 J jnl
A New Kernel-Based Approach for NonlinearSystem Identification.
IEEE Trans. Autom. Control.
Gianluigi Pillonetto, Minh Ha Quang, Alessandro Chiuso
2011 B conf
Controlled Recognition Bounds for Scaling and Occlusion Channels.
DCC
Stefano Soatto, Alessandro Chiuso
2011 — conf
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso.
CDC/ECC
Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
2011 J jnl
Gossip Algorithms for Simultaneous Distributed Estimation and Classification in Sensor Networks.
IEEE J. Sel. Top. Signal Process.
Alessandro Chiuso, Fabio Fagnani, Luca Schenato, Sandro Zampieri
2011 C conf
Gossip algorithms for distributed ranking.
ACC
Alessandro Chiuso, Fabio Fagnani, Luca Schenato, Sandro Zampieri
2011 J jnl
Information fusion strategies and performance bounds in packet-drop networks.
Autom.
Alessandro Chiuso, Luca Schenato
2011 J jnl
Optimal Synchronization for Networks of Noisy Double Integrators.
IEEE Trans. Autom. Control.
Ruggero Carli, Alessandro Chiuso, Luca Schenato, Sandro Zampieri
2011 J jnl
Prediction error identification of linear systems: A nonparametric Gaussian regression approach.
Autom.
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2010 J jnl
Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach.
IEEE Trans. Control. Syst. Technol.
Alessandro Chiuso, Riccardo Muradore, Enrico Marchetti
2010 — conf
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors.
NIPS
Alessandro Chiuso, Gianluigi Pillonetto
2010 — conf
Nonparametric sparse estimators for identification of large scale linear systems.
CDC
Alessandro Chiuso, Gianluigi Pillonetto
2010 J jnl
On the Asymptotic Properties of Closed-Loop CCA-Type Subspace Algorithms: Equivalence Results and Role of the Future Horizon.
IEEE Trans. Autom. Control.
Alessandro Chiuso
2010 C conf
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels.
ACC
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2010 — conf
Sparse calibration of an extreme Adaptive Optics system.
CDC
Alessandro Chiuso, Riccardo Muradore, Emmanuel Aller-Carpentier
2009 — conf
A Bayesian learning approach to linear system identification with missing data.
CDC
Gianluigi Pillonetto, Alessandro Chiuso
2009 J jnl
Fast computation of smoothing splines subject to equality constraints.
Autom.
Gianluigi Pillonetto, Alessandro Chiuso
2009 — conf
Performance bounds for information fusion strategies in packet-drop networks.
ECC
Alessandro Chiuso, Luca Schenato
2008 J jnl
Distributed Kalman filtering based on consensus strategies.
IEEE J. Sel. Areas Commun.
Ruggero Carli, Alessandro Chiuso, Luca Schenato, Sandro Zampieri
2008 — conf
Dynamic calibration of adaptive optics systems: A system identification approach.
CDC
Alessandro Chiuso, Riccardo Muradore, Enrico Marchetti
2008 — conf
Information fusion strategies from distributed filters in packet-drop networks.
CDC
Alessandro Chiuso, Luca Schenato
2008 — conf
Predictor estimation via Gaussian regression.
CDC
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2008 — conf
Some identification techniques in computer vision.
CDC
Alessandro Chiuso, Giorgio Picci
2008 — conf
Subspace identification using predictor estimation via Gaussian regression.
CDC
Alessandro Chiuso, Gianluigi Pillonetto, Giuseppe De Nicolao
2008 J jnl
Wide-Sense Estimation on the Special Orthogonal Group.
Commun. Inf. Syst.
Alessandro Chiuso, Giorgio Picci, Stefano Soatto
2007 C conf
Adaptive Optics Systems: A Challenge for Closed Loop Subspace Identifcation.
ACC
Alessandro Chiuso, Riccardo Muradore, Enrico Fedrigo
2007 J jnl
Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport.
IEEE Trans. Pattern Anal. Mach. Intell.
Alessandro Bissacco, Alessandro Chiuso, Stefano Soatto
2007 — conf
Distributed Kalman filtering using consensus strategies.
CDC
Ruggero Carli, Alessandro Chiuso, Luca Schenato, Sandro Zampieri
2007 J jnl
On the Relation Between CCA and Predictor-Based Subspace Identification.
IEEE Trans. Autom. Control.
Alessandro Chiuso
2007 C conf
Some insights on the choice of the future horizon in closed-loop CCA-type Subspace Algorithms.
ACC
Alessandro Chiuso
2007 J jnl
The role of vector autoregressive modeling in predictor-based subspace identification.
Autom.
Alessandro Chiuso
2006 J jnl
Asymptotic variance of closed-loop subspace identification methods.
IEEE Trans. Autom. Control.
Alessandro Chiuso
2006 — conf
Non Linear Temporal Textures Synthesis: A Monte Carlo Approach.
ECCV (2)
Andrea Masiero, Alessandro Chiuso
2006 — conf
The Role of Vector AutoRegressive Modeling in Subspace Identification.
CDC
Alessandro Chiuso
2005 J jnl
Consistency analysis of some closed-loop subspace identification methods.
Autom.
Alessandro Chiuso, Giorgio Picci
2005 — conf
Learning and exploiting invariants for multi-target tracking and data association.
CDC/ECC
Ruggero Frezza, Alessandro Chiuso
2005 — conf
On the relation between CCA and predictor-based subspace identification.
CDC/ECC
Alessandro Chiuso
2005 — conf
Reciprocal realization and modeling of textured images.
CDC/ECC
Alessandro Chiuso, Augusto Ferrante, Giorgio Picci
2004 — conf
Asymptotic variance of a certain closed-loop subspace identification method.
CDC
Alessandro Chiuso
2004 J jnl
Asymptotic variance of subspace methods by data orthogonalization and model decoupling: a comparative analysis.
Autom.
Alessandro Chiuso, Giorgio Picci
2004 — conf
Consistency analysis of closed-loop subspace identification.
CDC
Alessandro Chiuso, Giorgio Picci
2004 — conf
Integration of shape constraints in data association filters.
CDC
Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin, Ruggero Frezza
2004 — conf
Modeling and Synthesis of Facial Motion Driven by Speech.
ECCV (3)
Payam Saisan, Alessandro Bissacco, Alessandro Chiuso, Stefano Soatto
2004 J jnl
Numerical conditioning and asymptotic variance of subspace estimates.
Autom.
Alessandro Chiuso, Giorgio Picci
2004 J jnl
On the ill-conditioning of subspace identification with inputs.
Autom.
Alessandro Chiuso, Giorgio Picci
2004 J jnl
Subspace identification by data orthogonalization and model decoupling.
Autom.
Alessandro Chiuso, Giorgio Picci
2003 J jnl
Dynamic Textures.
Int. J. Comput. Vis.
Gianfranco Doretto, Alessandro Chiuso, Ying Nian Wu, Stefano Soatto
2003 — conf
Observability of Linear Hybrid Systems.
HSCC
René Vidal, Alessandro Chiuso, Stefano Soatto, Shankar Sastry
2002 — conf
Integrating shape and dynamic probabilistic models for data association and tracking.
CDC
Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin, Ruggero Frezza
2002 — conf
Observability and identifiability of jump linear systems.
CDC
René Vidal, Alessandro Chiuso, Stefano Soatto
2002 J jnl
Structure from Motion Causally Integrated Over Time.
IEEE Trans. Pattern Anal. Mach. Intell.
Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto
2001 — conf
Asymptotic variances of subspace estimates.
CDC
Alessandro Chiuso, Giorgio Picci
2001 — conf
Recognition of Human Gaits.
CVPR (2)
Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto
2000 — conf
3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation.
ECCV (2)
Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto
2000 — conf
Monte Carlo filtering on Lie groups.
CDC
Alessandro Chiuso, Stefano Soatto
2000 J jnl
Optimal Structure from Motion: Local Ambiguities and Global Estimates.
Int. J. Comput. Vis.
Alessandro Chiuso, Roger W. Brockett, Stefano Soatto
2000 — conf
Probing inputs for subspace identification.
CDC
Alessandro Chiuso, Giorgio Picci
1997 — conf
Visual tracking of points as estimation on the unit sphere.
Block Island Workshop on Vision and Control
Alessandro Chiuso, Giorgio Picci