Tim Salimans

I'm a Machine Learning research scientist working on generative modeling, semi-supervised and unsupervised deep learning, and reinforcement learning. I'm most well known for my work on GANs, showing how they can be used for semi-supervised learning and how we can evaluate them using the Inception score, and for my work on VAEs. I did some of the early work in variational inference using reparameterization, for which I received the 2014 Lindley prize. I also like to tackle practical problems and I am the winner of multiple Kaggle competitions. I have a PhD from Erasmus University Rotterdam.