Bayesian GAN

4 code implementations • NeurIPS 2017 • Yunus Saatchi, Andrew Gordon Wilson

Generative adversarial networks (GANs) can implicitly learn rich distributions over images, audio, and data which are hard to model with an explicit likelihood.

Learning Scalable Deep Kernels with Recurrent Structure

2 code implementations • 27 Oct 2016 • Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

To model such structure, we propose expressive closed-form kernel functions for Gaussian processes.

Autonomous Driving Gaussian Processes +1