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Rasmus Høier
Researcher, Rain AI
Joined
November 2022
Names
Rasmus Høier
(Preferred)
,
Rasmus Kjær Høier
Emails
****@chalmers.se
(Confirmed)
,
****@rain.ai
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Researcher
Rain AI
(rain.ai)
2025
–
Present
PhD student
Chalmers University of Technology
(chalmers.se)
2019
–
2025
Advisors, Relations & Conflicts
Coauthor
Benjamin Scellier
2025
–
Present
Coauthor
Tugdual Kerjan
2025
–
Present
Coauthor
Timothy Nest
2025
–
Present
Coworker
Xixi Liu
2020
–
2025
Coworker
Dorian Staudt
2020
–
2025
Coworker
Yaroslava Lochman
2020
–
2025
PhD Advisor
Christopher Zach
2019
–
2025
PhD Advisor
Fredrik Kahl
2019
–
2025
Coauthor
Jack Kendall
2024
–
2024
Coauthor
Maxence Ernoult
2023
–
2024
Coworker
Che-Tsung Lin
2020
–
2024
Coworker
Huu Le
2019
–
2022
Expertise
Resistive neural networks
,
physical neural networks
2025
–
Present
Neuromorphic feedback control
,
asymmetric Hopfield networks
,
skew-symmetric Hopfield networks
2024
–
Present
Contrastive Hebbian learning
,
biologically plausible learning
,
lifted neural networks
,
target propagation
,
predictive coding
2019
–
Present
Binary neural networks
2021
–
2023
Publications
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Huu Le
,
Rasmus Kjær Høier
,
Che-Tsung Lin
,
Christopher Zach
2022 (modified: 17 Nov 2022)
CVPR 2022
Readers:
Everyone
Lifted Regression/Reconstruction Networks
Rasmus Kjær Høier
,
Christopher Zach
2020 (modified: 17 Nov 2022)
BMVC 2020
Readers:
Everyone
Co-Authors
Che-Tsung Lin
Christopher Zach
Huu Le