Riccardo Sven Risuleo

According to our database, Riccardo Sven Risuleo authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models.

Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren

Trans. Mach. Learn. Res., 2024

2021

On the optimal consensus of crab submarines in one dimension.

Riccardo Sven Risuleo

CoRR, 2021

The Klarna Product Page Dataset: A Realistic Benchmark for Web Representation Learning.

Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren

CoRR, 2021

2020

Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

IEEE Trans. Autom. Control., 2020

Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes.

Mingliang Wang, Riccardo Sven Risuleo, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson

Comput. Chem. Eng., 2020

2019

Bayesian nonparametric identification of Wiener systems.

Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson

Autom., 2019

Modeling and identification of uncertain-input systems.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

Autom., 2019

Parameter elimination in particle Gibbs sampling.

Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray, Fredrik Lindsten

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Bayesian learning of structured dynamical systems.

Riccardo Sven Risuleo

PhD thesis, 2018

Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models.

Riccardo Sven Risuleo, Håkan Hjalmarsson

IEEE Control. Syst. Lett., 2018

Semi-Parametric Kernel-Based Identification of Wiener Systems.

Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

A nonparametric kernel-based approach to Hammerstein system identification.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

Autom., 2017

Optimal Power Control for D2D Communications under Rician Fading: A Risk Theoretical Approach.

Demia Della Penda, Riccardo Sven Risuleo, Patricio E. Valenzuela, Mikael Johansson

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Kernel-based system identification from noisy and incomplete input-output data.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics.

Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal, Håkan Hjalmarsson, Karl Henrik Johansson

CoRR, 2015

A new kernel-based approach for overparameterized Hammerstein system identification.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

CoRR, 2015

On the estimation of initial conditions in kernel-based system identification.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A new kernel-based approach to overparameterized Hammerstein system identification.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

A kernel-based approach to Hammerstein system identification.

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

CoRR, 2014

Blind system identification using kernel-based methods.

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson

CoRR, 2014