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
Manon KokAssociate Professor at the Delft Center for Systems and ControlVerified email at tudelft.nl
Jeroen D. HolSnapVerified email at snap.com
Niklas WahlströmAssociate 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
Antônio H. RibeiroAssistant Professor, Uppsala UniversityVerified email at it.uu.se
Fredrik K. GustafssonPostdoctoral Researcher, Karolinska InstitutetVerified email at ki.se
Carl AnderssonUppsala UniversityVerified email at it.uu.se
Carl JidlingUppsala UniversityVerified email at it.uu.se
Jens SjölundAssistant Professor at 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
Derick M. OliveiraUniversidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Daniel GedonPostdoctoral Researcher, University of TübingenVerified email at it.uu.se

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	907	2005
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	751	2020
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	706	2017
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011	670	2011
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006	627	2006
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013	384	2013
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014	336	2014
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	327	2020
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	326	2020
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	240	2019
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015	235	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	228	2015
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005	224	2005
Machine Learning: A First Course for Engineers and Scientists A Lindholm, N Wahlström, F Lindsten, TB Schön Cambridge University Press, 2022	213	2022
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	198	2009
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008	198	2008
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016	197	2016
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013	192	2013
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	174	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	169	2014

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