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Posts by Collection
portfolio
Portfolio item number 2
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publications
Certifying Properties of Deep Networks by Taking them into Shallow Waters
Published in ETH Zürich Research Collection, 2020
Konstantinos Barmpas, Yannic Kilcher, Kevin Roth, David Haber, Thomas Hofmann - [Paper] [Research Poster] [Presentation Video]
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition
Published in NeurIPS 2021 - Winning team in Benchmarks in EEG Transfer Learning (BEETL) competition, 2021
Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos Laskaris, Dimitrios A. Adamos and Stefanos Zafeiriou - [Paper] [Poster] [BEETL Competition]
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]
A Causal Viewpoint on Motor-Imagery Brainwave Decoding
Published in ICLR 2022 - Workshop on the Elements of Reasoning: Objects, Structure, and Causality (OSC), 2022
Konstantinos Barmpas, Yannis Panagakis, Dimitrios Adamos, Nikolaos Laskaris and Stefanos Zafeiriou - [Paper] [Poster] [Talk at the BCI Society]
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]
Improving Generalization of CNN-based Motor-Imagery EEG Decoders via Dynamic Convolutions
Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2023
Konstantinos Barmpas, Yannis Panagakis, Stylianos Bakas, Dimitrios Adamos, Nikolaos Laskaris, Stefanos Zafeiriou - [Paper] [Talk at the BCI Society]
BrainWave-Scattering Net: A Lightweight Network for EEG-based Motor Imagery Recognition
Published in Journal of Neural Engineering (JNE), 2023
Konstantinos Barmpas, Yannis Panagakis, Dimitrios Adamos, Nikolaos Laskaris, Stefanos Zafeiriou - [Paper]
Subject Selection Framework to Improve Personalised Models for Motor-Imagery BCIs via Wavelets and Graph Diffusion
Published in ICLR 2024 - Workshop on Learning from Time Series For Health (TS4H), 2024
Konstantinos Barmpas, Yannis Panagakis, Dimitrios Adamos, Nikolaos Laskaris and Stefanos Zafeiriou - [Paper] [Poster]
A Causal Perspective on Brainwave Modeling for Brain-Computer Interfaces
Published in Journal of Neural Engineering (JNE), 2024
Konstantinos Barmpas, Yannis Panagakis, Georgios Zoumpourlis, Dimitrios Adamos, Nikolaos Laskaris, Stefanos Zafeiriou - [Paper]
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 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