Alessandro Chiuso
Orcid: 0000-0002-4410-6101Affiliations:
- University of Padova, Department of Information Engineering, Italy
According to our database1,
Alessandro Chiuso
authored at least 130 papers
between 1997 and 2024.
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Bibliography
2024
PLoS Comput. Biol., January, 2024
2023
Autom., June, 2023
Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor.
Sensors, 2023
CoRR, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Autom., 2022
Kernel-based system identification with manifold regularization: A Bayesian perspective.
Autom., 2022
Value-function estimation and uncertainty propagation in Reinforcement Learning: a Koopman operator approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
CoRR, 2021
Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach.
CoRR, 2021
Data-Driven Control of Nonlinear Systems: Learning Koopman Operators for Policy Gradient.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
IEEE Trans. Control. Syst. Technol., 2020
NeuroImage, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Annu. Rev. Control. Robotics Auton. Syst., 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
The role of noise modeling in the estimation of resting-state brain effective connectivity.
CoRR, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder-Decoder-Controller Design.
IEEE Trans. Autom. Control., 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint.
Autom., 2016
Autom., 2016
Annu. Rev. Control., 2016
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 15th European Control Conference, 2016
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets.
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Proceedings of the Encyclopedia of Systems and Control, 2015
SIAM J. Sci. Comput., 2015
Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations.
Proceedings of the 3rd International Conference on Learning Representations, 2015
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator.
Autom., 2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the 14th European Control Conference, 2015
Linear encoder-decoder-controller design over channels with packet loss and quantization noise.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Remote Estimation With Noisy Measurements Subject to Packet Loss and Quantization Noise.
IEEE Trans. Control. Netw. Syst., 2014
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.
IEEE Trans. Autom. Control., 2014
Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso.
J. Mach. Learn. Res., 2014
LQG-like control of scalar systems over communication channels: The role of data losses, delays and SNR limitations.
Autom., 2014
Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator.
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 13th European Control Conference, 2014
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Proceedings of the 2013 Information Theory and Applications Workshop, 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
IEEE Trans. Autom. Control., 2011
IEEE Trans. Autom. Control., 2011
Gossip Algorithms for Simultaneous Distributed Estimation and Classification in Sensor Networks.
IEEE J. Sel. Top. Signal Process., 2011
Prediction error identification of linear systems: A nonparametric Gaussian regression approach.
Autom., 2011
Autom., 2011
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
IEEE Trans. Control. Syst. Technol., 2010
On the Asymptotic Properties of Closed-Loop CCA-Type Subspace Algorithms: Equivalence Results and Role of the Future Horizon.
IEEE Trans. Autom. Control., 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels.
Proceedings of the American Control Conference, 2010
2009
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
IEEE J. Sel. Areas Commun., 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
IEEE Trans. Autom. Control., 2007
Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport.
IEEE Trans. Pattern Anal. Mach. Intell., 2007
The role of vector autoregressive modeling in predictor-based subspace identification.
Autom., 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the American Control Conference, 2007
Some insights on the choice of the future horizon in closed-loop CCA-type Subspace Algorithms.
Proceedings of the American Control Conference, 2007
2006
IEEE Trans. Autom. Control., 2006
Proceedings of the Computer Vision, 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
Autom., 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2004
Asymptotic variance of subspace methods by data orthogonalization and model decoupling: a comparative analysis.
Autom., 2004
Proceedings of the Computer Vision, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
2003
Proceedings of the Hybrid Systems: Computation and Control, 2003
2002
IEEE Trans. Pattern Anal. Mach. Intell., 2002
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Integrating shape and dynamic probabilistic models for data association and tracking.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
2001
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
Proceedings of the 40th IEEE Conference on Decision and Control, 2001
2000
Int. J. Comput. Vis., 2000
3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
1997
Proceedings of the confluence of vision and control, 1997