Thomas Schön

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Fredrik GustafssonProf, Linköping University, SwedenVerified email at liu.se
Fredrik LindstenAssociate Professor, Linköping UniversityVerified email at liu.se
Adrian WillsUniversity of Newcastle AustraliaVerified email at newcastle.edu.au
Jeroen D. HolSnapVerified email at snap.com
Manon KokAssistant Professor at the Delft Center for Systems and ControlVerified email at tudelft.nl
B NinnessUniversity of Newcastle AustraliaVerified email at newcastle.edu.au
Johan DahlinHead of Product, AgriOpt AB, Stockholm, SwedenVerified email at johandahlin.com
Niklas WahlströmAssistant Professor, Uppsala University, SwedenVerified email at it.uu.se
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Andreas Lindholm (Svensson)Machine Learning Research Engineer, AnnotellVerified email at annotell.com
Rickard KarlssonAutomatic Control, Linköping University, Linköping, SwedenVerified email at isy.liu.se
Carl JidlingUppsala UniversityVerified email at it.uu.se
Christian A. NaessethPostdoctoral Research Scientist at Columbia UniversityVerified email at columbia.edu
Christian LundquistSenion, Linköping University, ZF LenksystemeVerified email at isy.liu.se
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Jack UmenbergerPostdoctoral associate, MITVerified email at it.uu.se
Lawrence MurrayUber AIVerified email at uber.com
Carl AnderssonUppsala UniversityVerified email at it.uu.se
Umut OrgunerMiddle East Technical University, Dept. of Electrical and Electronics Engineering, Ankara, TurkeyVerified email at metu.edu.tr
Hendrik LuingeAMSVerified email at infertia.com

Thomas Schön

Professor, Uppsala University

Verified email at it.uu.se - Homepage

Machine Learning Artificial intelligence Monte Carlo methods Gaussian processes System Identification


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	770	2005
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011	502	2011
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006	467	2006
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	271	2017
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013	246	2013
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014	236	2014
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005	181	2005
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008	166	2008
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	150	2009
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015	148	2015
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013	147	2013
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	139	2015
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016	112	2016
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	112	2012
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	111	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	110	2014
Modeling and calibration of inertial and vision sensors JD Hol, TB Schön, F Gustafsson The international journal of robotics research 29 (2-3), 231-244, 2010	91	2010
Estimation of nonlinear dynamic systems: Theory and applications TB Schön PhD thesis, Linköping University, Sweden., 2006	87	2006
Sensor fusion for augmented reality JD Hol, TB Schön, F Gustafsson, PJ Slycke International Conference on Information Fusion (FUSION), 2006	83	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	73	2020

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