Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders

1 July 2022

Papers citing "Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders"

6 / 6 papers shown

Title
An Iterative Bayesian Approach for System Identification based on Linear Gaussian Models Alexandros E. Tzikas Mykel J. Kochenderfer 34 0 0 28 Jan 2025
Decoding Linguistic Representations of Human Brain Yu Wang Heyang Liu Yuhao Wang Chuan Xuan Yixuan Hou Sheng Feng Hongcheng Liu Yusheng Liao Yanfeng Wang AI4CE 31 1 0 30 Jul 2024
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion Anders Vestergaard Norskov Alexander Neergaard Zahid Morten Morup 42 2 0 13 Nov 2023
Continuous Indeterminate Probability Neural Network T.A. Yang BDL 13 0 0 23 Mar 2023
Relating EEG to continuous speech using deep neural networks: a review Corentin Puffay Bernd Accou Lies Bollens Mohammad Jalilpour-Monesi Jonas Vanthornhout Hugo Van hamme T. Francart 11 40 0 03 Feb 2023
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification Yuan Yue Jeremiah D. Deng D. Ridder P. Manning D. Adhia DRL 22 3 0 01 Feb 2023