Posts by Collection

portfolio

Portfolio item number 1

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Portfolio item number 2

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publications

Inferring subjective preferences on robot trajectories using EEG signals

Iwane, F., Halvagal, M. S., Iturrate, I., Batzianoulis, I., Chavarriaga, R., Billard, A., & Millán, J. D. R.
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

This paper presents a proof of concept that EEG error potentials from a BCI can be used to course-correct the motion of a robotic arm in real-time.

( paper )

The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks

Halvagal, M. S., & Zenke, F.
Nature Neuroscience, 2023

This preprint explains our theory that Hebbian plasticity helps predictive SSL to prevent representational collapse.

( paper | code )

Implicit variance regularization in non-contrastive SSL

Halvagal, M. S.*, Laborieux, A.*, & Zenke, F.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023

Our paper explaining why the BYOL and SimSiam methods don’t suffer from representation collapse.

( paper | code )

talks

Talk 1 on Relevant Topic in Your Field

Published:

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Conference Proceeding talk 3 on Relevant Topic in Your Field

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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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