Thomas Schön

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Citations	12327	8023
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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
Manon KokAssociate Professor at the Delft Center for Systems and ControlVerified email at tudelft.nl
Jeroen D. HolSnapVerified email at snap.com
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, KognicVerified email at kognic.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
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
Rickard KarlssonAutomatic Control, Linköping University, Linköping, SwedenVerified email at isy.liu.se
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
Derick M. OliveiraUniversidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Martin DanelljanResearcher, ETH ZurichVerified email at vision.ee.ethz.ch

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	874	2005
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011	630	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	623	2017
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006	602	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	523	2020
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013	349	2013
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014	321	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	251	2020
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	229	2020
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015	220	2015
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005	219	2005
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	205	2015
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008	195	2008
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013	188	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	186	2009
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	179	2019
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016	176	2016
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	157	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	151	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	147	2012

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