Rasmus Kjær Høier

Doctoral Student at Signal Processing and Biomedical Engineering

Rasmus Kjær Høier is a PhD student in the computer vision and Medical Image Analysis group. He is participating in the Wallenberg AI, Autonomous Systems and Software Program (WASP).

Source: chalmers.se

Contact Details ORCID

Publications (4)
Projects (0)

Showing 4 publications

2024

Two Tales of Single-Phase Contrastive Hebbian Learning

Rasmus Kjær Høier, Christopher Zach

Proceedings of Machine Learning Research. Vol. 235, p. 18470-18488

Paper in proceeding

2023

Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons

Rasmus Kjær Høier, Dorian Staudt, Christopher Zach

Proceedings of Machine Learning Research. Vol. 202, p. 13141-13156

Paper in proceeding

Show project

2022

AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks

Huu Le, Rasmus Kjær Høier, Che-Tsung Lin et al

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2022-June, p. 460-469

Paper in proceeding

2020

Lifted Regression/Reconstruction Networks

Rasmus Kjær Høier, Christopher Zach

31st British Machine Vision Conference, BMVC 2020

Paper in proceeding

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 Rasmus Kjær Høier participates, but you have to be logged in as a Chalmers employee to see them.