Browsing Division of Interdisciplinary Research by Advisor "Seelamantula, Chandra Sekhar"
Now showing items 1-2 of 2
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On the Optimality of Generative Adversarial Networks — A Variational Perspective
Generative adversarial networks (GANs) are a popular learning framework to model the underlying distribution of images. GANs comprise a min-max game between the generator and the discriminator. While the generator transforms ... -
Representation of Natural Stimuli in Neural Signals across Scales and Frequencies
Neural activity from the brain can be recorded at different scales using a variety of electrodes, which vary in their resolution, cortical spread and invasiveness. The electroencephalogram (EEG) is recorded from the scalp, ...