activity
20142021
most citedBlind system identification using kernel-based methods

16 citations · 56 across the 9 of their papers we have counts for

collaborators

10 papers

math.OC2021

On the optimal consensus of crab submarines in one dimension

Riccardo Sven Risuleo

We consider the problem of computing the optimal meeting point of a set of N crab submarines. First, we analyze the case where the submarines are allowed any position on the real l…

cs.LG2021★ 4 cited

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

Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu +2

Web automation holds the potential to revolutionize how users interact with the digital world, offering unparalleled assistance and simplifying tasks via sophisticated computationa…

stat.CO2019★ 4 cited

Parameter elimination in particle Gibbs sampling

Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray +1

Bayesian inference in state-space models is challenging due to high-dimensional state trajectories. A viable approach is particle Markov chain Monte Carlo, combining MCMC and seque…

eess.SY2017

Modeling and identification of uncertain-input systems

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

In this work, we present a new class of models, called uncertain-input models, that allows us to treat system-identification problems in which a linear system is subject to a parti…

eess.SY2016★ 3 cited

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

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

In this contribution, we propose a kernel-based method for the identification of linear systems from noisy and incomplete input-output datasets. We model the impulse response of th…

eess.SY2015★ 3 cited

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

Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson

Recent developments in system identification have brought attention to regularized kernel-based methods, where, adopting the recently introduced stable spline kernel, prior informa…