MAtt: A Manifold Attention Network for EEG Decoding

5 October 2022

Papers citing "MAtt: A Manifold Attention Network for EEG Decoding"

19 / 19 papers shown

Title
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 41 0 0 26 Apr 2025
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry Rui Wang Shaocheng Jin Ziheng Chen Xiaoqing Luo Xiao Wu 46 0 0 01 Apr 2025
Geometric Machine Learning on EEG Signals Benjamin J. Choi 44 1 0 07 Feb 2025
Optimising EEG decoding with refined sampling and multimodal feature integration Arash Akbarinia 22 0 0 30 Sep 2024
Riemannian Geometry-Based EEG Approaches: A Literature Review Imad Eddine Tibermacine Samuele Russo Ahmed Tibermacine A. Rabehi B. Nail Kamel Kadri Christian Napoli 41 5 0 19 Jul 2024
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds Ziheng Chen Yue Song Xiao-Jun Wu N. Sebe 48 2 0 02 Jul 2024
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning Chi-Sheng Chen Chun-Shu Wei 46 9 0 05 Jun 2024
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance Param S. Rajpura H. Cecotti Y. Meena 19 0 0 02 May 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations Zhenxi Song Ruihan Qin Huixia Ren Zhen Liang Yi Guo Min Zhang Zhiguo Zhang 21 1 0 29 Apr 2024
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training Johannes Burchert Thorben Werner Vijaya Krishna Yalavarthi Diego Coello de Portugal Maximilian Stubbemann Lars Schmidt-Thieme 19 1 0 10 Apr 2024
LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning Jianchao Lu Yuzhe Tian Yang Zhang Jiaqi Ge Quan Z. Sheng 20 1 0 12 Oct 2023
DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation Yiqun Duan Jinzhao Zhou Zhen Wang Yu-Kai Wang Ching-Teng Lin 12 31 0 25 Sep 2023
Structure-Preserving Transformers for Sequences of SPD Matrices Mathieu Seraphim Alexis Lechervy Florian Yger Luc Brun Olivier Etard 16 1 0 14 Sep 2023
Decoding Natural Images from EEG for Object Recognition Yonghao Song Bingchuan Liu Xiang Li Nanlin Shi Yijun Wang Xiaorong Gao 26 22 0 25 Aug 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 35 6 0 05 Jun 2023
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis Ce Ju Cuntai Guan 32 21 0 25 Oct 2022
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction Pin-Hua Lai Bo-Shan Wang Wei Yang Hsiang-Chieh Tsou Chunshan Wei 25 3 0 12 Oct 2022
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications Jose J. Bouza Chun-Hao Yang David E Vaillancourt B. Vemuri 11 4 0 02 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016