Jamison Heard

Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition

Generative Adversarial Networks (GANs) have emerged as a powerful tool for generating high-fidelity content. This paper presents a new training procedure that leverages Neural Architecture Search (NAS) to discover the optimal architecture for image generation while employing the Maximum Mean Discrep…