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.

Source: chalmers.se
Image of Fredrik Hellström

Showing 5 publications

2021

Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks

Fredrik Hellström, Giuseppe Durisi
IEEE International Symposium on Information Theory - Proceedings. Vol. 2021-July, p. 952-957
Paper in proceeding
2020

Generalization Bounds via Information Density and Conditional Information Density

Fredrik Hellström, Giuseppe Durisi
IEEE Journal on Selected Areas in Information Theory . Vol. 1 (3), p. 824-839
Journal article
2020

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 proceeding
2018

New constraints on inelastic dark matter from IceCube

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

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.

There are no projects.
There might be more projects where Fredrik Hellström participates, but you have to be logged in as a Chalmers employee to see them.