Publication
Mathematics
Publication
Batch optimization for DNA synthesis
Publication
On the Generative Utility of Cyclic Conditionals
Microsoft Research Blog
How can generative adversarial networks learn real-life distributions easily
A Generative adversarial network, or GAN, is one of the most powerful machine learning models proposed by Goodfellow et al. (opens in new tab) for learning to generate samples from complicated real-world distributions. GANs have…
Publication