Thomas Schön - Google Scholar Citations

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	All	Since 2014
Citations	5761	4011
h-index	36	29
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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 DahlinSelf-employed consultant in Bayesian statistics and Machine learning.Verified 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
Rickard KarlssonAutomatic Control, Linköping University, Linköping, SwedenVerified email at isy.liu.se
Andreas Lindholm (Svensson)PostDoc, Uppsala UniversityVerified email at it.uu.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 EECS and Professor of Statistics, University of California, BerkeleyVerified email at cs.berkeley.edu
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Per SlyckeMoveshelf Labs B.V.Verified email at moveshelf.com
Hendrik LuingeAMSVerified email at infertia.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
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyVerified email at tudelft.nl

Thomas Schön

Professor, Uppsala University

Verified email at it.uu.se - Homepage

Machine Learning Artificial intelligence Monte Carlo methods Gaussian processes System Identification


Title	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	686	2005
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011	404	2011
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006	392	2006
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013	192	2013
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014	168	2014
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005	162	2005
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008	157	2008
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013	126	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	120	2009
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	104	2017
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015	103	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	90	2015
Estimation of nonlinear dynamic systems: Theory and applications TB Schön PhD thesis, Linköping University, Sweden., 2006	84	2006
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	82	2010
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	79	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	78	2013
Sensor fusion for augmented reality JD Hol, TB Schon, F Gustafsson, PJ Slycke International Conference on Information Fusion (FUSION), 2006	76	2006
An optimization-based approach to human body motion capture using inertial sensors M Kok, JD Hol, TB Schön IFAC Proceedings Volumes 47 (3), 79-85, 2014	66	2014
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	61	2007
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016	57	2016

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