201 citations · 255 across the 5 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 46 cited
Scalable Diffusion Models with Transformers
William Peebles, Saining Xie
We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of images, replacing the commonly-used U-Net backbone with a tran…
cs.LG2022★ 7 cited
Learning to Learn with Generative Models of Neural Network Checkpoints
William Peebles, Ilija Radosavovic, Tim Brooks +2
We explore a data-driven approach for learning to optimize neural networks. We construct a dataset of neural network checkpoints and train a generative model on the parameters. In…