Publication
Mathematics
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
Numerical Composition of Differential Privacy
Publication
Tensor Programs III: Neural Matrix Laws.
Dataset Source Code
Clustered Nanopore Reads (CNR) Dataset
DNA storage aims to store information in the form of DNA sequences. This is a research project in Microsoft Research Redmond. This repo contains a dataset of real DNA sequences which can be used for…