Thomas Schön

Thomas Schön, Professor of Automatic Control at Uppsala University. Photo: Mikael Wallerstedt

My main research interest is nonlinear inference, especially within the context of dynamical systems, solved using probabilistic models and algorithms. In terms of scientific fields, my research is situated somewhere on the intersection between the fields of machine learning, signal processing and automatic control. My aim is to pursue both basic and applied research, where the latter is typically carried out in close collaboration with industry. A brief overview of my research is available here and my publications are available here.


Recent research results/news

June 21, 2015: The slides for tomorrow’s lectures on Nonlinear system identification using sequential Monte Carlo methods are now finished [Lecture 1][Lecture 2][Lecture 3][Lecture 4]. These lectures form a course within the Summer school on foundations and advances in stochastic filtering (FASF 2015) held here in Barcelona, Spain during June 22-25, 2015. It is an updated version of the guest lectures given in Brussels a few weeks back and it is based on this paper.

June 7, 2015: The slides for tomorrow’s lectures on Nonlinear system identification using sequential Monte Carlo methods are now finished [Lecture 1], [Lecture 2], [Lecture 3], [Lecture 4]. These lectures are given in connection with the the Doctoral school on nonlinear system identification held in Brussels, Belgium. They are based on our recent tutorial paper on the topic, available here. In case you find this interesting I will give another edition in Barcelona, Spain on June 22, more information about how to register can be found here.

May 31, 2015: Together with Fredrik Lindsten and Bhushan Gopaluni I am organizing an invited session on the use of Sequential Monte Carlo methods for inference in nonlinear dynamical systems. It was just accepted for the 17th IFAC Symposium on System Identification (SYSID) to be held in Beijing in China, October 2015.

May 31, 2015: We have new research results accepted for the 17th IFAC Symposium on System Identification (SYSID) to be held in Beijing in China, October 2015.

Andreas Svensson, Thomas B. Schön and Manon Kok. Nonlinear state space smoothing using the conditional particle filter. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015. [arXiv]
Johan Dahlin, Fredrik Lindsten and Thomas B. Schön, Quasi-Newton particle Metropolis-Hastings applied to intractable likelihood models. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015. [arXiv]
Niklas Wahlström, Thomas B. Schön and Marc Peter Deisenroth. Learning deep dynamical models from image pixels. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015.
Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön and Michel Verhaegen. 
Online sparse Gaussian process regression using FITC and PITC approximations. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015.
Jerker Nordh, Torbjörn Wigren, Thomas B. Schön and Bo Bernhardsson. 
Particle filtering based identification for autonomous nonlinear ODE models. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015.
Manon Kok, Johan Dahlin, Thomas B. Schön and Adrian Wills. 
Newton-based maximum likelihood estimation in nonlinear state space models. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015. [arXiv]
Johan Wågberg, Fredrik Lindsten and Thomas B. Schön. Bayesian nonparametric identification of piecewise affine ARX systems. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015.
Jack Umenberger, Johan Wågberg, Ian R. Manchester and Thomas B. Schön. 
On identification via EM with latent disturbances and Lagrangian relaxation. In Proceedings of the 17th IFAC Symposium on System Identification  (SYSID), Beijing, China, October 2015.
Thomas B. Schön, Fredrik Lindsten, Johan Dahlin, Johan Wågberg, Christian A. Naesseth, Andreas Svensson and Liang Dai. 
Sequential Monte Carlo methods for system identification. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015.


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 © Thomas Schön 2015