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