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

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Publications (3)
Projects (0)

Showing 3 publications

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

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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

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