OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
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
Dyadic Learning in Asymmetric ConvNets
Timothy Nest
,
Rasmus Høier
NFAM 2026 Poster
Readers:
Everyone
Training a Convergent Energy Transformer with Equilibrium Propagation
Rasmus Høier
,
Tugdual Kerjan
,
Benjamin Scellier
NFAM 2026 Oral
Readers:
Everyone
A cookbook for hardware-friendly implicit learning on static data
Maxence Ernoult
,
Rasmus Høier
,
Jack Kendall
MLNCP Poster
Readers:
Everyone
Dyadic Learning in Recurrent and Feedforward Models
Rasmus Høier
,
Kirill Kalinin
,
Maxence Ernoult
,
Christopher Zach
MLNCP Oral
Readers:
Everyone
Dyadic Learning in Recurrent and Feedforward Models
Rasmus Høier
,
Kirill Kalinin
,
Maxence Ernoult
,
Christopher Zach
NeuroAI @ NeurIPS 2024 Poster
Readers:
Everyone
Two Tales of Single-Phase Contrastive Hebbian Learning
Rasmus Høier
,
Christopher Zach
ICML 2024 Poster
Readers:
Everyone
Two Tales of Single-Phase Contrastive Hebbian Learning
Rasmus Kjær Høier
,
Christopher Zach
ICML 2024
Readers:
Everyone
A Lagrangian Perspective on Dual Propagation
Rasmus Høier
,
Christopher Zach
MLNCP Oral
Readers:
Everyone
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier
,
D. Staudt
,
Christopher Zach
ICML LLW 2023
Readers:
Everyone
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier
,
D. Staudt
,
Christopher Zach
ICML 2023 Poster
Readers:
Everyone
View all 13 publications
Co-Authors
Benjamin Scellier
Che-Tsung Lin
Christopher Zach
D. Staudt
Huu Le
Jack Kendall
Kirill Kalinin
Maxence Ernoult
Timothy Nest
Tugdual Kerjan