Posts by Collection



2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

Published in Proceedings of Machine Learning Research (PMLR), 2022

Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Śliwowski, Vincent Rouanne, Piotr Tempczyk - [Paper] [BEETL Competition]

Surfing on the Neural Sheaf

Published in NeurIPS 2022 - NeurReps Workshop (Symmetry and Geometry in Neural Representations), 2022

Julian Suk, Lorenzo Giusti, Tamir Hemo, Miguel Lopez, Konstantinos Barmpas, Cristian Bodnar - [Paper] [Poster]



Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

Deep Learning

Postgraduate course, Imperial College London, Department of Computing, 2022

Designed the Graph Neural Networks Tutorial and Quiz - Coursework Marker - Tutorial Helper