Magnus Malmström

According to our database, Magnus Malmström authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification.

Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson

IEEE Signal Process. Lett., 2024

2023

On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model.

Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson

CoRR, 2023

Uncertainty quantification in neural network classifiers - a local linear approach.

Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson

CoRR, 2023

2022

A Novel and Fast Approach for Reconstructing CASSI-Raman Spectra using Generative Adversarial Networks.

Jacob Eek, David Gustafsson, Ludwig Hollmann, Markus Nordberg, Isaac Skog, Magnus Malmström

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

Detection of outliers in classification by using quantified uncertainty in neural networks.

Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty.

Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2019

5G Positioning - A Machine Learning Approach.

Magnus Malmström, Isaac Skog, Sara Modarres Razavi, Yuxin Zhao, Fredrik Gunnarsson

Proceedings of the 16th Workshop on Positioning, Navigation and Communications, 2019