[J7] Z. Purisha, C. Jidling, N. Wahlström, T. Schön, and S. Särkkä. Probabilistic approach to limited-data computed tomography reconstruction. Inverse Problems, 2019.
[J6] C. Jidling, J. Hendriks, N. Wahlström, A. Gregg, T. B. Schön, C. Wensrich, and A. Wills. Probabilistic modelling and reconstruction of strain. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 436:141 – 155, 2018, Paper
[J5] A. Solin, M. Kok, N. Wahlström, T. B. Schön, and S. Särkkä. Modeling and interpolation of the ambient magnetic field by Gaussian processes. IEEE Transactions on Robotics, 34(4):1112 – 1127, Paper
[J4] G. Hendeby, F. Gustafsson, N. Wahlström, S. Gunnarsson, Platform for Teaching Sensor Fusion Using a Smartphone. International Journal of Engineering Education, 33(2B), pp 781-789
[J3] N. Wahlström and E. Özkan, Extended Target Tracking Using Gaussian Processes. IEEE Transactions on Signal Processing. 63(16), pp 4165-4178 Paper
[J2] N. Wahlström, R. Hostettler, F. Gustafsson and W. Birk, Classification of Driving Direction in Traffic Surveillance using Magnetometers. IEEE Transactions on Intelligent Transportation Systems. 15(4), pp 1405-1418 Paper
[J1] N. Wahlström and F. Gustafsson,
Magnetometer Modeling and Validation for Tracking Metallic Targets. IEEE Transactions on Signal Processing. 62(3), pp 545-556 Paper
Conference papers (peer reviewed)
[C18] C. Andersson, A.H. Ribeiro, K. Tiels, N. Wahlström, and T. B. Schön. Deep convolutional networks in system identification, Nice, France, 2019. In Proceedings of the IEEE 58th Conference on Decision and Control (CDC).
[C17] C. Andersson, N. Wahlström, and T. B. Schön. Data-driven impulse response regularization via deep learning. In Proceedings of the 18th IFAC Symposium on System Identification (SYSID), Stockholm, Sweden, 2018. Paper
[C16] C. Jidling, N. Wahlström, A. Wills, and T. B. Schön. Linearly constrained Gaussian processes. The Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, US, December 2017. Paper
[C15] E. Özkan, N. Wahlström, and S. J. Godsill, Rao-Blackwellised particle filter for star-convex extended target tracking models. The 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, July 2016. paper
[C14] F. Ceragioli, G. Lindmark, C. Veibäck, N. Wahlström, M. Lindfors, and C. Altafini. A bounded confidence model that preserves the signs of the opinion. European Control Conference 2016. paper
[C13] J. A. Assael, N. Wahlström, T. B. Schön, and M. P. Deisenroth. Data-efficient learning of feedback policies from image pixels using deep dynamical models. Deep Reinforcement Learning Workshop at the Annual Conference on Neural Information Processing Systems (NIPS) . Paper
[C11] N. Wahlström, T. B. Schön, M. P. Deisenroth From Pixels to Torques: Policy Learning with Deep Dynamical Models. Deep learning Workshop at the International Conference on Machine Learning. Paper
[C10] G. Hendeby, F. Gustafsson, and N. Wahlström, Teaching Sensor Fusion and Kalman Filtering using a Smartphone. The 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August, 2014. Paper
[C9] N. Wahlström, P. Axelsson, and F. Gustafsson. Discretizing stochastic dynamical systems using Lyapunov equations. The 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August, 2014. arXiv Slides Poster
[C8] V. Deleskog, H. Habberstad, G. Hendeby, D. Lindgren and N. Wahlström, Robust NLS Sensor Localization using MDS Initialization. The 17th International Conference on Information Fusion (FUSION), Salamanca, July, 2014. Paper
[C7] N. Wahlström, M. Kok, T.B. Schön, and F. Gustafsson. Modeling Magnetic Fields using Gaussian Processes.
The 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May, 2013. Paper Poster
[C6] M. Kok, N. Wahlström, T.B. Schön, and F. Gustafsson. MEMS-based inertial navigation based on a magnetic field map.. The 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May, 2013. Paper
[C4] N. Wahlström, R. Hostettler, F. Gustafsson and W. Birk, Rapid Classification of Vehicle Heading Direction with two-axis Magnetometer. The 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March, 2012. Paper Slides Poster
[C3] N. Wahlström, J. Callmer and F. Gustafsson, Single Target Tracking using Vector Magnetometers.
The 36th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic,
May, 2011. Paper Poster
[C2] N. Wahlström, J. Callmer and F. Gustafsson, Magnetometers for tracking metallic targets. The 13th International Conference on Information Fusion (FUSION), Edinburgh, UK, July, 2010. Paper
[C1] E. Almqvist, D. Eriksson, A. Lundberg, E. Nilsson, N. Wahlström, E. Frisk, and M. Krysander,Solving the ADAPT Benchmark Problem - A Student Project Study. 21st International Workshop on Principles of Diagnosis (DX-10). Portland, Oregon, USA. 2010 Paper
[P1] F. Gustafsson, N.Wahlström, Method and Device for Pose Tracking Using Vector Magnetometers. US Patent (US 20130249784 A1) Patent
[T3] N. Wahlström, Modeling of Magnetic Fields and Extended Objects for Localization Applications. PhD Thesis. Defended on December 4, 2015. Thesis
[T1] N. Wahlström, Target Tracking using Maxwell's Equations. Master's Thesis. Defended on June 15, 2010. Thesis