| Extended Target Tracking Using Gaussian Processes N Wahlstrom, E Özkan IEEE Transactions on Signal Processing 63 (16), 41654178, 2015 | 268 | 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 | 221 | 2015 |
| Machine learning: a first course for engineers and scientists A Lindholm, N Wahlström, F Lindsten, TB Schön Cambridge University Press, 2022 | 197* | 2022 |
| 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 | 139 | 2018 |
| Linearly constrained Gaussian processes C Jidling, N Wahlström, A Wills, TB Schön Advances in neural information processing systems 30, 2017 | 125 | 2017 |
| Deep state space models for nonlinear system identification D Gedon, N Wahlström, TB Schön, L Ljung IFAC-PapersOnLine 54 (7), 481-486, 2021 | 94 | 2021 |
| Magnetometer modeling and validation for tracking metallic targets N Wahlström, F Gustafsson IEEE Transactions on Signal Processing 62 (3), 545-556, 2013 | 83 | 2013 |
| Modeling magnetic fields using Gaussian processes N Wahlström, M Kok, TB Schön, F Gustafsson 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 79 | 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 | 69 | 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 | 51 | 2018 |
| Learning deep dynamical models from image pixels N Wahlström, TB Schön, MP Deisenroth IFAC-PapersOnLine 48 (28), 1059-1064, 2015 | 47 | 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 | 36 | 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 | 28 | 2010 |
| 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 | 26 | 2013 |
| Modeling of magnetic fields and extended objects for localization applications N Wahlström Linköping University Electronic Press, 2015 | 24 | 2015 |
| 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 | 21 | 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 |
| Method and device for pose tracking using vector magnetometers FBR Gustafsson, NT Wahlström US Patent 10,228,428, 2019 | 17 | 2019 |
Thomas SchönProfessor, Uppsala University在 it.uu.se 的电子邮件经过验证
