most citedFusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

Extended target tracking utilizing machine-learning software -- with applications to animal classification

Magnus Malmström, Anton Kullberg, Isaac Skog +2

This paper considers the problem of detecting and tracking objects in a sequence of images. The problem is formulated in a filtering framework, using the output of object-detection…

eess.SP2023★ 2 cited

Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

Magnus Malmström, Isaac Skog, Daniel Axehill +1

This paper considers the problem of sequential fusion of predictions from neural networks (NN) and fusion of predictions from multiple NN. This fusion strategy increases the robust…