About
Tim is a Machine Learning research scientist working on generative modeling. He is well known for his work on GANs and VAEs, and their evaluation using the Inception score, as well as his work on autoregressive generative models like GPT-1 and PixelCNN++. More recently, he has been focusing on diffusion models for generating images (Imagen) and video (Imagen Video), and on making these models fast to sample using distillation.
Research Areas
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