ICTR Enrichment Series: An Introduction to Generative Adversarial Networks with an Application to Denoising EEG
DescriptionIn this presentation, Dr. Tim Oates will introduce GAN architectures, describe how they are learned, and present a number of example applications, including generating "fake" people. Dr. Oates will also review some recent work done in his lab using GANs to denoise EEG data. Dr. Oates’ research focuses on artificial intelligence, machine learning, robotics, and natural language processing. He recently held a Post-doc position at the MIT Laboratory.
generative adversarial networks (GAN)
Independent component analysis (ICA)