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Abstract: The application of generative adversarial networks (GANs) has recently advanced speech super-resolution (SR) based on intermediate representations like mel-spectrograms. However, existing SR ...
Abstract: In recent years, generative adversarial networks (GANs) have made significant progress in generating audio sequences. However, these models typically rely on bandwidth-limited ...
This repository contains a collection of Super-Resolution Generative Adversarial Network (SRGAN) implementations focused on medical imaging applications. The projects are built upon the original SRGAN ...
A research team conducted a meta-analysis of the diagnostic capabilities of generative AI in the field of medicine using 83 research papers.
Organizations already struggle to fix flaws discovered during penetration testing. Gen AI apps bring added complexity and the ...
A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams ...