Manu Srinath Halvagal

Manu Srinath Halvagal

PhD student learning about unsupervised learning

Publications

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 )

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 )

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 )