Thomas Schön

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	All	Since 2015
Citations	6770	4528
h-index	38	30
i10-index	125	95

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200520062007200820092010201120122013201420152016201720182019202030 57 107 138 207 220 287 270 388 480 587 636 695 900 878 811

Co-authors

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
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Niklas WahlströmAssistant Professor, Uppsala UniversityVerified email at it.uu.se
Andreas Lindholm (Svensson)PostDoc, Uppsala UniversityVerified email at it.uu.se
Rickard KarlssonAutomatic Control, Linköping University, Linköping, SwedenVerified email at isy.liu.se
Christian A. NaessethPostdoctoral Researcher 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
Carl JidlingUppsala UniversityVerified email at it.uu.se
Hendrik LuingeAMSVerified email at infertia.com
Per SlyckeMoveshelf Labs B.V.Verified email at moveshelf.com
Umut OrgunerMiddle East Technical University, Dept. of Electrical and Electronics Engineering, Ankara, TurkeyVerified email at metu.edu.tr
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Jack UmenbergerPostdoctoral associate, MITVerified 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


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	739	2005
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011	465	2011
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006	433	2006
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013	221	2013
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014	209	2014
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	186	2017
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005	173	2005
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008	161	2008
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013	140	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	136	2009
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015	128	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	119	2015
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	98	2013
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	97	2012
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	85	2010
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016	83	2016
Estimation of nonlinear dynamic systems: Theory and applications TB Schön PhD thesis, Linköping University, Sweden., 2006	83	2006
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	82	2014
Sensor fusion for augmented reality JD Hol, TB Schön, F Gustafsson, PJ Slycke International Conference on Information Fusion (FUSION), 2006	79	2006
Robust real-time tracking by fusing measurements from inertial and vision sensors JD Hol, TB Schön, H Luinge, PJ Slycke, F Gustafsson Journal of Real-Time Image Processing 2 (2-3), 149-160, 2007	68	2007

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