Riccardo Sven Risuleo

23 papers A* 1B 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models.
Trans. Mach. Learn. Res.
Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren
2021 J jnl
On the optimal consensus of crab submarines in one dimension.
CoRR
Riccardo Sven Risuleo
2021 J jnl
The Klarna Product Page Dataset: A Realistic Benchmark for Web Representation Learning.
CoRR
Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren
2020 J jnl
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach.
IEEE Trans. Autom. Control.
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2020 J jnl
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes.
Comput. Chem. Eng.
Mingliang Wang, Riccardo Sven Risuleo, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson
2019 J jnl
Bayesian nonparametric identification of Wiener systems.
Autom.
Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson
2019 J jnl
Modeling and identification of uncertain-input systems.
Autom.
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2019 A* conf
Parameter elimination in particle Gibbs sampling.
NeurIPS
Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray, Fredrik Lindsten
2018 — —
Bayesian learning of structured dynamical systems.
Riccardo Sven Risuleo
2018 J jnl
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models.
IEEE Control. Syst. Lett.
Riccardo Sven Risuleo, Håkan Hjalmarsson
2018 — conf
Semi-Parametric Kernel-Based Identification of Wiener Systems.
CDC
Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson
2017 J jnl
A nonparametric kernel-based approach to Hammerstein system identification.
Autom.
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2017 J jnl
Modeling and identification of uncertain-input systems.
CoRR
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2017 B conf
Optimal Power Control for D2D Communications under Rician Fading: A Risk Theoretical Approach.
GLOBECOM
Demia Della Penda, Riccardo Sven Risuleo, Patricio E. Valenzuela, Mikael Johansson
2016 — conf
Kernel-based system identification from noisy and incomplete input-output data.
CDC
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2016 J jnl
Kernel-based system identification from noisy and incomplete input-output data.
CoRR
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2015 J jnl
A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics.
CoRR
Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal, Håkan Hjalmarsson, Karl Henrik Johansson
2015 J jnl
A new kernel-based approach for overparameterized Hammerstein system identification.
CoRR
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2015 — conf
A new kernel-based approach to overparameterized Hammerstein system identification.
CDC
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2015 — conf
On the estimation of initial conditions in kernel-based system identification.
CDC
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2015 J jnl
On the estimation of initial conditions in kernel-based system identification.
CoRR
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2014 J jnl
A kernel-based approach to Hammerstein system identification.
CoRR
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
2014 J jnl
Blind system identification using kernel-based methods.
CoRR
Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson