Thomas Schön

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Fredrik LindstenAssociate Professor, Linköping UniversityVerified email at liu.se
Fredrik GustafssonProf, Linköping University, SwedenVerified email at liu.se
Adrian WillsUniversity of Newcastle AustraliaVerified email at newcastle.edu.au
Jeroen D. HolSnapVerified email at snap.com
Manon KokAssociate Professor at the Delft Center for Systems and ControlVerified email at tudelft.nl
Niklas WahlströmAssistant Professor, Uppsala University, SwedenVerified email at it.uu.se
B NinnessUniversity of Newcastle AustraliaVerified email at newcastle.edu.au
Andreas Lindholm (Svensson)Machine Learning Research Engineer, AnnotellVerified email at annotell.com
Johan DahlinKotte Consulting AB, Stockholm, SwedenVerified email at johandahlin.com
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Carl JidlingUppsala UniversityVerified email at it.uu.se
Carl AnderssonUppsala UniversityVerified email at it.uu.se
Antônio H. RibeiroUppsala UniversityVerified email at it.uu.se
Rickard KarlssonAutomatic Control, Linköping University, Linköping, SwedenVerified email at isy.liu.se
Fredrik K. GustafssonPhD Student, Uppsala UniversityVerified email at it.uu.se
Antonio Luiz P. RibeiroUniversidade Federal de Minas Gerais, BrasilVerified email at hc.ufmg.br
Wagner Meira, Jr.Professor of Computer Science, Universidade Federal de Minas Gerais, BrazilVerified email at dcc.ufmg.br
Christian A. NaessethAssistant Professor at University of AmsterdamVerified email at uva.nl
Martin DanelljanResearcher, ETH ZurichVerified email at vision.ee.ethz.ch
Derick M. OliveiraUniversidade Federal de Minas GeraisVerified email at dcc.ufmg.br

Thomas Schön

Professor, Uppsala University

Verified email at it.uu.se - Homepage

Machine Learning Artificial intelligence Monte Carlo methods Gaussian processes System Identification


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Marginalized particle filters for mixed linear/nonlinear state-space models T Schön, F Gustafsson, PJ Nordlund IEEE Transactions on Signal Processing 53 (7), 2279-2289, 2005	856	2005
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011	604	2011
Using inertial sensors for position and orientation estimation M Kok, JD Hol, TB Schön Foundations and Trends in Signal Processing 11 (1-2), 1-153, 2017	568	2017
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006	566	2006
Automatic diagnosis of the 12-lead ECG using a deep neural network AH Ribeiro, MH Ribeiro, GMM Paixão, DM Oliveira, PR Gomes, ... Nature Communications 11 (1760), 2020	422	2020
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013	323	2013
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014	300	2014
Evaluating scalable bayesian deep learning methods for robust computer vision FK Gustafsson, M Danelljan, TB Schön Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	212	2020
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005	209	2005
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015	204	2015
From pixels to torques: Policy learning with deep dynamical models N Wahlström, TB Schön, MP Deisenroth International Conference on Machine Learning (ICML) - Deep Learning Workshop, 2015	194	2015
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008	190	2008
The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision (ECCV), 547-601, 2020	189	2020
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013	180	2013
Tightly coupled UWB/IMU pose estimation J Hol, F Dijkstra, H Luinge, TB Schön Proceedings of the IEEE International Conference on Ultra-Wideband (ICUWB …, 2009	174	2009
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016	157	2016
Evaluating model calibration in classification J Vaicenavicius, D Widmann, C Andersson, F Lindsten, J Roll, TB Schön International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019	150	2019
Bayesian inference and learning in Gaussian process state-space models with particle MCMC R Frigola, F Lindsten, TB Schön, CE Rasmussen Advances in Neural Information Processing Systems (NIPS), 3156-3164, 2013	145	2013
An optimization-based approach to human body motion capture using inertial sensors M Kok, J Hol, TB Schön 19th World Congress of the International Federation of Automatic Control …, 2014	144	2014
Calibration of a magnetometer in combination with inertial sensors M Kok, JD Hol, TB Schön, F Gustafsson, H Luinge 15th International Conference on Information Fusion (FUSION), 787-793, 2012	141	2012

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