Niklas Wahlström

Cited by

	All	Since 2020
Citations	2036	1453
h-index	19	14
i10-index	30	20

380

190

285

201320142015201620172018201920202021202220232024202522 25 34 61 101 158 161 186 232 259 379 360 37

Public access

View all

15 articles

1 article

available

not available

Based on funding mandates

Co-authors

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

Niklas Wahlström

Associate Professor, Uppsala University, Sweden

Verified email at it.uu.se - Homepage

Machine learning deep learning sensor fusion state estimation filtering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Extended Target Tracking Using Gaussian Processes N Wahlstrom, E Özkan IEEE Transactions on Signal Processing 63 (16), 41654178, 2015	309	2015
Machine learning: a first course for engineers and scientists A Lindholm, N Wahlström, F Lindsten, TB Schön Cambridge University Press, 2022	274*	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	174	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	115	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	80	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

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors