Giulio Bottegal

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 44

Top Topics

Probabilistic Matrix Factorization

Factor Analysis

Correlated Noise

Dynamic Networks

Top Venues

IEEE Trans. Autom. Control.

Publications

Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
Learning linear modules in a dynamic network with missing node observations. CoRR (2022)
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
Learning linear modules in a dynamic network using regularized kernel-based methods. Autom. 129 (2021)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach. IEEE Trans. Autom. Control. 65 (7) (2020)
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
Learning linear modules in a dynamic network using regularized kernel-based methods. CoRR (2020)
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Bayesian topology identification of linear dynamic networks. ECC (2019)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
Modeling and identification of uncertain-input systems. Autom. 105 (2019)
Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal
Local module identification in dynamic networks with correlated noise: the full input case. CDC (2019)
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Bayesian topology identification of linear dynamic networks. CoRR (2019)
Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto
Boosting as a kernel-based method. Mach. Learn. 108 (11) (2019)
Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal
Local module identification in dynamic networks with correlated noise: the full input case. CoRR (2018)
Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
An empirical Bayes approach to identification of modules in dynamic networks. Autom. 91 (2018)
Giulio Bottegal, Ricardo Castro-Garcia, Johan A. K. Suykens
A two-experiment approach to Wiener system identification. Autom. 93 (2018)
Giulio Bottegal, Gianluigi Pillonetto
The generalized cross validation filter. Autom. 90 (2018)
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods. CDC (2018)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
A nonparametric kernel-based approach to Hammerstein system identification. Autom. 85 (2017)
Giulio Bottegal, Farhad Farokhi, Iman Shames
Preserving Privacy of Finite Impulse Response Systems. IEEE Control. Syst. Lett. 1 (1) (2017)
Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
An empirical Bayes approach to identification of modules in dynamic networks. CoRR (2017)
Giulio Bottegal, Johan A. K. Suykens
Probabilistic matrix factorization from quantized measurements. IJCNN (2017)
Afrooz Ebadat, Damiano Varagnolo, Giulio Bottegal, Bo Wahlberg, Karl Henrik Johansson
Application-oriented input design for room occupancy estimation algorithms. CDC (2017)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
Modeling and identification of uncertain-input systems. CoRR (2017)
Giulio Bottegal, Gianluigi Pillonetto
The Generalized Cross Validation Filter. CoRR (2017)
Giulio Bottegal, Ricardo Castro-Garcia, Johan A. K. Suykens
On the identification of Wiener systems with polynomial nonlinearity. CDC (2017)
Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
A new kernel-based approach to system identification with quantized output data. Autom. 85 (2017)
Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson
Variance analysis of linear SIMO models with spatially correlated noise. Autom. 77 (2017)
Giulio Bottegal, Farhad Farokhi, Iman Shames
Preserving Privacy of Finite Impulse Response Systems. CoRR (2017)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
Kernel-based system identification from noisy and incomplete input-output data. CoRR (2016)
Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
A new kernel-based approach to system identification with quantized output data. CoRR (2016)
Mohsen Zamani, Giulio Bottegal, Brian D. O. Anderson
On the Zero-Freeness of Tall Multirate Linear Systems. IEEE Trans. Autom. Control. 61 (11) (2016)
Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
Robust EM kernel-based methods for linear system identification. Autom. 67 (2016)
Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson
Identification of modules in dynamic networks: An empirical Bayes approach. CDC (2016)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
Kernel-based system identification from noisy and incomplete input-output data. CDC (2016)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
A new kernel-based approach to overparameterized Hammerstein system identification. CDC (2015)
Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal, Håkan Hjalmarsson, Karl Henrik Johansson
A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics. CoRR (2015)
Giulio Bottegal, Giorgio Picci
Modeling Complex Systems by Generalized Factor Analysis. IEEE Trans. Autom. Control. 60 (3) (2015)
Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson
On the variance analysis of identified linear MIMO models. CDC (2015)
Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, Gianluigi Pillonetto
Outlier robust kernel-based system identification using ℓ1-Laplace techniques. CDC (2015)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
A new kernel-based approach for overparameterized Hammerstein system identification. CoRR (2015)
Giulio Bottegal, Gianluigi Pillonetto, Håkan Hjalmarsson
Bayesian kernel-based system identification with quantized output data. CoRR (2015)
Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson
Blind identification strategies for room occupancy estimation. ECC (2015)
Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Karl Henrik Johansson
Regularized Deconvolution-Based Approaches for Estimating Room Occupancies. IEEE Trans Autom. Sci. Eng. 12 (4) (2015)
Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson
Variance Analysis of Linear SIMO Models with Spatially Correlated Noise. CoRR (2015)
Afrooz Ebadat, Giulio Bottegal, Marco Molinari, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson
Multi-room occupancy estimation through adaptive gray-box models. CDC (2015)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
On the estimation of initial conditions in kernel-based system identification. CDC (2015)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
On the estimation of initial conditions in kernel-based system identification. CoRR (2015)
Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
Robust EM kernel-based methods for linear system identification. CoRR (2014)
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
A kernel-based approach to Hammerstein system identification. CoRR (2014)
Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson
Blind system identification using kernel-based methods. CoRR (2014)
Giulio Bottegal, Håkan Hjalmarsson
On the variance of identified SIMO systems with spatially correlated output noise. CDC (2014)
Giulio Bottegal, Giorgio Picci
Flocking and Generalized Factor Analysis CoRR (2013)
Mohsen Zamani, Giulio Bottegal, Brian D. O. Anderson
On the properties of linear multirate systems with coprime output rates. CDC (2013)
Giulio Bottegal, Giorgio Picci
Modeling random flocks through Generalized Factor Analysis. ECC (2013)
Mohsen Zamani, Giulio Bottegal, Brian D. O. Anderson
On the Zero-freeness of Tall Multirate Linear Systems. CoRR (2013)
Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Karl Henrik Johansson
Estimation of building occupancy levels through environmental signals deconvolution. BuildSys@SenSys (2013)
Giulio Bottegal, Gianluigi Pillonetto
Regularized spectrum estimation using stable spline kernels. Autom. 49 (11) (2013)
Giulio Bottegal, Gianluigi Pillonetto
Regularized spectrum estimation in spaces induced by stable spline kernels. ACC (2012)
Giulio Bottegal, Giorgio Picci
A note on generalized factor analysis models. CDC/ECC (2011)
Giulio Bottegal, Giorgio Picci, Stefano Pinzoni
On the identifiability of errors-in-variables models with white measurement errors. Autom. 47 (3) (2011)