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ORCIDRiccardo Sven Risuleo
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2020 – today
- 2021
[i9]Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren:
The Klarna Product Page Dataset: A Realistic Benchmark for Web Representation Learning. CoRR abs/2111.02168 (2021)- [i8]Riccardo Sven Risuleo:
On the optimal consensus of crab submarines in one dimension. CoRR abs/2112.08220 (2021) - 2020
- [j6]Mingliang Wang, Riccardo Sven Risuleo, Elling W. Jacobsen, Véronique Chotteau
, Håkan Hjalmarsson:
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes. Comput. Chem. Eng. 133 (2020) - [j5]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach. IEEE Trans. Autom. Control. 65(7): 2801-2813 (2020)
2010 – 2019
- 2019
- [j4]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Modeling and identification of uncertain-input systems. Autom. 105: 130-141 (2019) - [j3]Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson:
Bayesian nonparametric identification of Wiener systems. Autom. 108 (2019) - [c6]Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray, Fredrik Lindsten:
Parameter elimination in particle Gibbs sampling. NeurIPS 2019: 8916-8927 - 2018
- [b1]Riccardo Sven Risuleo:
Bayesian learning of structured dynamical systems. Royal Institute of Technology, Stockholm, Sweden, 2018 - [j2]Riccardo Sven Risuleo, Håkan Hjalmarsson:
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models. IEEE Control. Syst. Lett. 2(4): 647-652 (2018) - [c5]Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson:
Semi-Parametric Kernel-Based Identification of Wiener Systems. CDC 2018: 3874-3879 - 2017
- [j1]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A nonparametric kernel-based approach to Hammerstein system identification. Autom. 85: 234-247 (2017) - [c4]Demia Della Penda, Riccardo Sven Risuleo, Patricio E. Valenzuela, Mikael Johansson:
Optimal Power Control for D2D Communications under Rician Fading: A Risk Theoretical Approach. GLOBECOM 2017: 1-6 - [i7]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Modeling and identification of uncertain-input systems. CoRR abs/1709.03421 (2017) - 2016
- [c3]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Kernel-based system identification from noisy and incomplete input-output data. CDC 2016: 2061-2066 - [i6]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Kernel-based system identification from noisy and incomplete input-output data. CoRR abs/1605.03733 (2016) - 2015
- [c2]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A new kernel-based approach to overparameterized Hammerstein system identification. CDC 2015: 115-120 - [c1]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
On the estimation of initial conditions in kernel-based system identification. CDC 2015: 1120-1125 - [i5]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 abs/1504.02843 (2015) - [i4]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A new kernel-based approach for overparameterized Hammerstein system identification. CoRR abs/1504.08190 (2015) - [i3]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
On the estimation of initial conditions in kernel-based system identification. CoRR abs/1504.08196 (2015) - 2014
- [i2]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A kernel-based approach to Hammerstein system identification. CoRR abs/1412.4055 (2014) - [i1]Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson:
Blind system identification using kernel-based methods. CoRR abs/1412.4056 (2014)
Coauthor Index
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