Niklas Wahlström

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Thomas SchönProfessor, Uppsala UniversityEmail verificata su it.uu.se
Fredrik GustafssonProf, Linköping University, SwedenEmail verificata su liu.se
Marc DeisenrothUniversity College London and Google DeepMindEmail verificata su ucl.ac.uk
Fredrik LindstenAssociate Professor, Linköping UniversityEmail verificata su liu.se
Andreas Lindholm (Svensson)Machine Learning Research Engineer, KognicEmail verificata su kognic.com
Carl JidlingUppsala UniversityEmail verificata su it.uu.se
Manon KokAssociate Professor at the Delft Center for Systems and ControlEmail verificata su tudelft.nl
Emre OzkanMETU, Department of Electrical and Electronics Engineering, ANKARAEmail verificata su metu.edu.tr
Antônio H. RibeiroAssistant Professor, Uppsala UniversityEmail verificata su it.uu.se
Daniel GedonPostdoctoral Fellow, Tübingen UniversityEmail verificata su uni-tuebingen.de
Carl AnderssonUppsala UniversityEmail verificata su it.uu.se
Simo SärkkäProfessor, Aalto UniversityEmail verificata su aalto.fi
Adrian WillsUniversity of Newcastle AustraliaEmail verificata su newcastle.edu.au
Koen TielsLecturer, Eindhoven University of Technology (TU/e)Email verificata su tue.nl
Arno SolinAssistant Professor in Machine Learning, Aalto UniversityEmail verificata su aalto.fi
Gustaf HendebyAssoc. Prof & Docent, Linköping UniversityEmail verificata su liu.se
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenEmail verificata su isy.liu.se
Wolfgang BirkAutomatic Control, Luleå University of Technology, SwedenEmail verificata su ltu.se
Roland HostettlerAssociate Professor, Uppsala UniversityEmail verificata su angstrom.uu.se
Philipp PilarPhD Student, Uppsala UniversitetEmail verificata su it.uu.se

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Niklas Wahlström

Associate Professor, Uppsala University, Sweden

Email verificata su it.uu.se - Home page

Machine learning deep learning sensor fusion state estimation filtering


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Extended Target Tracking Using Gaussian Processes N Wahlstrom, E Özkan IEEE Transactions on Signal Processing 63 (16), 41654178, 2015	308	2015
Machine learning: a first course for engineers and scientists A Lindholm, N Wahlström, F Lindsten, TB Schön Cambridge University Press, 2022	272*	2022
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	240	2015
Modeling and interpolation of the ambient magnetic field by Gaussian processes A Solin, M Kok, N Wahlström, TB Schön, S Särkkä IEEE Transactions on robotics 34 (4), 1112-1127, 2018	172	2018
Linearly constrained Gaussian processes C Jidling, N Wahlström, A Wills, TB Schön Advances in neural information processing systems 30, 2017	136	2017
Deep state space models for nonlinear system identification D Gedon, N Wahlström, TB Schön, L Ljung IFAC-PapersOnLine 54 (7), 481-486, 2021	113	2021
Modeling magnetic fields using Gaussian processes N Wahlström, M Kok, TB Schön, F Gustafsson 2013 IEEE international conference on acoustics, speech and signal …, 2013	96	2013
Magnetometer modeling and validation for tracking metallic targets N Wahlström, F Gustafsson IEEE Transactions on Signal Processing 62 (3), 545-556, 2013	93	2013
Deep convolutional networks in system identification C Andersson, AH Ribeiro, K Tiels, N Wahlström, TB Schön 2019 IEEE 58th conference on decision and control (CDC), 3670-3676, 2019	78	2019
Probabilistic modelling and reconstruction of strain C Jidling, J Hendriks, N Wahlström, A Gregg, TB Schön, C Wensrich, ... Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2018	52	2018
Learning deep dynamical models from image pixels N Wahlström, TB Schön, MP Deisenroth IFAC-PapersOnLine 48 (28), 1059-1064, 2015	49	2015
Rao-Blackwellised particle filter for star-convex extended target tracking models E Özkan, N Wahlström, SJ Godsill 2016 19th International Conference on Information Fusion (FUSION), 1193-1199, 2016	38	2016
Classification of Driving Direction in Traffic Surveillance using Magnetometers N Wahlström, R Hostettler, F Gustafsson, W Birk IEEE transactions on intelligent transportation systems 15 (4), 1405 - 1418, 2014	33	2014
Magnetometers for tracking metallic targets N Wahlström, J Callmer, F Gustafsson 2010 13th International Conference on Information Fusion, 1-8, 2010	31	2010
Modeling of magnetic fields and extended objects for localization applications N Wahlström Linköping University Electronic Press, 2015	30	2015
MEMS-based inertial navigation based on a magnetic field map M Kok, N Wahlström, TB Schön, F Gustafsson 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	29	2013
Probabilistic approach to limited-data computed tomography reconstruction Z Purisha, C Jidling, N Wahlström, TB Schön, S Särkkä Inverse Problems 35 (10), 105004, 2019	23	2019
Discretizing stochastic dynamical systems using Lyapunov equations N Wahlström, P Axelsson, F Gustafsson IFAC Proceedings Volumes 47 (3), 3726-3731, 2014	22	2014
Platform for teaching sensor fusion using a smartphone G Hendeby, F Gustafsson, N Wahlström, S Gunnarsson International journal of engineering education 33 (2B), 781-789, 2017	20	2017
Data-efficient learning of feedback policies from image pixels using deep dynamical models JAM Assael, N Wahlström, TB Schön, MP Deisenroth arXiv preprint arXiv:1510.02173, 2015	19	2015

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