Niklas Wahlstrom

Orcid: 0000-0002-4634-7240

According to our database1, Niklas Wahlstrom authored at least 28 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Invertible Kernel PCA With Random Fourier Features.
IEEE Signal Process. Lett., 2023

Probabilistic matching of real and generated data statistics in generative adversarial networks.
CoRR, 2023

2022
Incorporating Sum Constraints into Multitask Gaussian Processes.
Trans. Mach. Learn. Res., 2022

Physics-informed neural networks with unknown measurement noise.
CoRR, 2022

2021
Learning deep autoregressive models for hierarchical data.
CoRR, 2021

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Deep State Space Models for Nonlinear System Identification.
CoRR, 2020

2019
Deep Convolutional Networks in System Identification.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes.
IEEE Trans. Robotics, 2018

Probabilistic approach to limited-data computed tomography reconstruction.
CoRR, 2018

Data-Driven Impulse Response Regularization via Deep Learning.
CoRR, 2018

2017
Linearly constrained Gaussian processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Rao-Blackwellised particle filter for star-convex extended target tracking models.
Proceedings of the 19th International Conference on Information Fusion, 2016

A bounded confidence model that preserves the signs of the opinions.
Proceedings of the 15th European Control Conference, 2016

2015
Modeling of Magnetic Fields and Extended Objects for Localization Applications.
PhD thesis, 2015

Extended Target Tracking Using Gaussian Processes.
IEEE Trans. Signal Process., 2015

From Pixels to Torques: Policy Learning with Deep Dynamical Models.
CoRR, 2015

Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models.
CoRR, 2015

2014
Magnetometer Modeling and Validation for Tracking Metallic Targets.
IEEE Trans. Signal Process., 2014

Classification of Driving Direction in Traffic Surveillance Using Magnetometers.
IEEE Trans. Intell. Transp. Syst., 2014

Learning deep dynamical models from image pixels.
CoRR, 2014

Robust NLS sensor localization using MDS initialization.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Modeling magnetic fields using Gaussian processes.
Proceedings of the IEEE International Conference on Acoustics, 2013

MEMS-based inertial navigation based on a magnetic field map.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Rapid classification of vehicle heading direction with two-axis magnetometer.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A voyage to Africa by Mr Swift.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Single target tracking using vector magnetometers.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Magnetometers for tracking metallic targets.
Proceedings of the 13th Conference on Information Fusion, 2010


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