Eric Price

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Deconstructing Generative Adversarial Networks

Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

How Generative Adversarial Networks and Their Variants Work

On the use of deep learning for computational imaging

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

AmbientGAN: Generative models from lossy measurements

Compressed Sensing using Generative Models