Tim Salimans

Tim Salimans is a staff research scientist and manager at Google Research Amsterdam. He works on generative modeling, semi-supervised and unsupervised deep learning, and reinforcement learning. He is most well known for his work on GANs (generative adversarial networks), showing how they can be used for semi-supervised learning and how we can evaluate them using the Inception score, and for his work on VAEs (variational autoencoders). He has also contributed to large-scale diffusion models such as DALL-E 2, GLIDE, and Imagen. He has a Ph.D. in Econometrics from Erasmus University Rotterdam.

Sources

• Research profile https://www.researchgate.net/profile/Tim-Salimans

• Google Research https://research.google/people/106222/

• LinkedIn https://nl.linkedin.com/in/tsalimans