@article{DeyCS2016, author="S. Dey and A. Chiuso and L. Schenato", title="Feedback Control over lossy SNR-limited channels: linear encoder-decoder-controller design", journal="IEEE Transactions on Automatic Control", year="2017" } @article{PPCAuto2015, author="G. Prando and G. Pillonetto and A. Chiuso", title="Maximum Entropy Vector Kernels for MIMO system identification", journal="Automatica (accepted as regular paper)", year="2017" } @article{ZorziCAuto2016, author="M. Zorzi and A. Chiuso", title="Sparse plus Low rank Network Identification: A Nonparamteric Approach", journal="Automatica", year="2017", volume="53", number="2" } @inproceedings{PRPCECC2016, author="G. Prando and D. Romeres and G. Pillonetto and A. Chiuso", title="Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets", booktitle="Proc. of ECC 2016", year="2016" } @inproceedings{CDC2016_DC, author="T. Chen and G. Pillonetto and A. Chiuso and L. Ljung", title="DC kernel - a stable generalized first order spline kernel", booktitle="Proc. of CDC 2016 - accepted", year="2016" } @article{ChenACCLPAuto2015, author="T. Chen and T. Ardeshiri and F.P. Carli and A. Chiuso and L. Ljung and G. Pillonetto", title="Maximum entropy properties of discrete-time first-order stable spline kernel", journal="Automatica", year="2016" } @inproceedings{SoattoC2016ICLR, author="S. Soatto and A. Chiuso", title="Modeling Visual Representations:Defining Properties and Deep Approximations", booktitle="International Conference on Learning Representation (ICLR)", year="2016" } @inproceedings{RPPCECC2016, author="D. Romeres and G. Prando and G. Pillonetto and A. Chiuso", title="On-line Bayesian System Identification", booktitle="Proc. of ECC 2016", year="2016" } @inproceedings{NnAaaa, author="G. Prando and D. Romeres and A. Chiuso", title="On-line Identification of Time-Varying Systems: a Bayesian approach", booktitle="IEEE CDC 2016 - accepted", year="2016" } @inproceedings{RoZoCaCh2016, author="D. Romeres and M. Zorzi and R. Camoriano and A. Chiuso", title="Online semi-parametric learning for inverse dynamics modeling", booktitle="55th IEEE Conference on Decision and Control", year="2016", month="December", address="Las Vegas, US" } @article{ARC2016, author="A. Chiuso", title="Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future", journal="Annual Reviews in Control - in press", year="2016" } @article{PCCDLAuto2015, author="G. Pillonetto and T. Chen and A. Chiuso and G. De nicolao and L. Ljung", title="Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint", journal="Automatica", year="2016" } @inproceedings{RFCSECC2016, author="G. Rallo and S. Formentin and A. Chiuso and S. Savaresi", title="Virtual Reference Feedback Tuning with bayesian regularization", booktitle="ECC 2016", year="2016" } @inproceedings{ZCCDC2015, author="M. Zorzi and A. Chiuso", title="A Bayesian Approach to Sparse plus Low rank Network Identification", booktitle="IEEE CDC 2015", year="2015" } @inproceedings{CFECMS2015, author="M. Zorzi and A. Chiuso", title="A Bayesian approach to sparse plus low rank network identification", booktitle="CFE-CMStatistics 2015 Book of Abstracts", year="2015", address="London" } @article{BonettiniCPSIAM2014, author="S. Bonettini and A. Chiuso and M. Prato", title="A SCALED GRADIENT PROJECTION METHOD FOR BAYESIAN LEARNING IN DYNAMICAL SYSTEMS", journal="SIAM Journal on Scientific Computing (accepted)", year="2015" } @inproceedings{RoChPi2015, author="D. Romeres and G. Pillonetto and A. Chiuso", title="Identification of stable models via nonparametric prediction error methods", booktitle="Proc. of the European Control Conference", year="2015", month="July", address="Linz", organization="ECC" } @inproceedings{NnAaaa, author="S. Dey and A. Chiuso and L. Schenato", title="Linear Encoder-Decoder-Controller Design over Channels with Packet Loss and Quantization Noise", booktitle="European Control Conference ECC15", year="2015" } @inproceedings{PCCDC2015, author="G. Prando and A. Chiuso", title="Model reduction for linear Bayesian System Identification", booktitle="IEEE CDC 2015", year="2015" } @inproceedings{SYSID2015_Tutorial, author="G. Prando and G. Pillonetto and A. Chiuso", title="On the role of rank penalties in linear system identification", booktitle="Prof. of SYSID 2015", year="2015" } @techreport{Sysid plenary, author="A. Chiuso", title="Regularization and Bayesian Learning in dynamical systems: past, present and future", booktitle="Plenary Lecture, SYSID 2015", year="2015", month="October", address="Plenary Presentation at SYSID 2015, Beijing" } @inproceedings{TsotsosCSICRA2015, author="K. Tsotsos and A. Chiuso and S. Soatto", title="Robust Inference for Visual-Inertial Sensor Fusion", booktitle="ICRA 2015 (accepted)", year="2015" } @inproceedings{CPCLCDC2015, author="T. Chen and G. Pillonetto and A. Chiuso and L. Ljung", title="Spectral analysis of the DC kernel for regularized system identification", booktitle="IEEE CDC 2015", year="2015" } @inproceedings{CVPR2015, author="G. Georgiadis and A. Chiuso and S. Soatto", title="Texture Representations for Image and Video Synthesis", booktitle="Proc. of CVPR 2015", year="2015", month="June", location="Boston" } @article{PillonettoCAuto2014, author="G. Pillonetto and A. Chiuso", title="Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator", journal="Automatica (accepted)", year="2015" } @inproceedings{ICLR2015, author="S. Soatto and A. Chiuso", title="Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximation", booktitle="International Conference on Learning Representation (ICLR), Workshop Track", year="2015", month="May" } @inproceedings{ChenACPLCDC2014, author="T. Chen and M. Andersen and A. Chiuso and G. Pillonetto and L. Ljung", title="Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method", booktitle="IEEE CDC 2014", year="2014", month="December", organization="IEEE", location="Los Angeles" } @inproceedings{CPECC2014, author="A. Chiuso and G. Pillonetto", title="Bayesian and nonparametric methods for system identification and model selection", booktitle="Proc. of ECC 2014", year="2014" } @inproceedings{PrandoCPCDC2014, author="G. Prando and A. Chiuso and G. Pillonetto", title="Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties", booktitle="Proc. IEEE CDC", year="2014", month="December", organization="IEEE", location="Los Angeles" } @article{NnAaaa, author="A. Aravkin and J. Burke and A. Chiuso and G. Pillonetto", title="Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso", journal="Journal of Machine Learning Research", year="2014", pages="1-36", number="15", institution="University of Padova" } @article{ChiusoLSZAuto2014, author="A. Chiuso and N. Laurenti and L. Schenato and A. Zanella", title="LQG-like control of scalar systems over communication channels: the role of data losses, delays and SNR limitations", journal="Automatica", year="2014", pages="3155–3163", volume="50", number="12" } @inproceedings{ChiusoCLPCDC2014, author="A. Chiuso and T. Chen and L. Ljung and G. Pillonetto", title="On the design of Multiple Kernels for nonparametric linear system identification", booktitle="IEEE CDC 2014", year="2014", month="December", location="Los Angeles" } @article{Dey:2014, author="S. Dey and A. Chiuso and L. Schenato", title="Remote estimation with noisy measurements subject to packet loss and quantization noise", journal="IEEE Transactions on Control of Network Systems", year="2014", pages="204-217", volume="1", number="3" } @inbook{ChiusoSpringer2014, author="A. Chiuso", title="System Identification Techniques: Convexification, Regularization, Relaxation", journal="Springer Encyclopedia of Systems and Control", year="2014" } @article{NnAaaa, author="T. Chen and M. Andersen and L. Ljung and A. Chiuso and G. Pillonetto", title="System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques", journal="IEEE Transactions on Automatic Control", year="2014" } @inproceedings{PCECC2014, author="G. Pillonetto and A. Chiuso", title="Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator", booktitle="Proc. of ECC 2014", year="2014" }