Latest Posts
-
The Elements of GANs, Part 3: Conditional GANs
Rather than just generating a realistic output with our GAN, in many cases we’d like to generate a plausible output given some input. In fact, I think that most of...
-
The Elements of GANs, Part 2: Wasserstein GANs and the Gradient Penalty
Training GANs remains a bit of an art and one can easily find that small changes in architecture and training procedures make a huge difference to the end results. The...
-
The Elements of GANs, Part 1: The Anatomy of a GAN
Generative Adversarial Networks (GANs) have developed extremely quickly in a few short years. It’s easy to find numerous examples of them generating highly realistic artificial samples of things such...
-
Why Atmospheric Scientists Should Care About GANs
A paper recently came out where me and coauthors demonstrate that generative adversarial networks (GANs) can be used to estimate cloud vertical structures based on incomplete data. In...