Fredrik Hellström

Doctoral Student at Communication Systems

Fredrik Hellström is a PhD student in the Communication systems group. His research is focused on the theory of deep neural networks, a type of machine learning. Deep neural networks are used for purposes like computer vision and natural language processing, with possible applications ranging from board games to autonomous cars.

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Showing 2 publications


Generalization Error Bounds via mth Central Moments of the Information Density

Fredrik Hellström, Giuseppe Durisi
IEEE International Symposium on Information Theory - Proceedings. Vol. 2020-June, p. 2741-2746
Paper in proceedings

New constraints on inelastic dark matter from IceCube

Riccardo Catena, Fredrik Hellström
Journal of Cosmology and Astroparticle Physics. Vol. 2018 (10)
Journal article

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