Tim Salimans

Publications by Year

Research Areas

Generative Adversarial Networks and Image Synthesis, Gaussian Processes and Bayesian Inference, Model Reduction and Neural Networks, Advanced Neuroimaging Techniques and Applications, Domain Adaptation and Few-Shot Learning

Most-Cited Works

• → Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding(2022)2,103 cited
• → Image Super-Resolution Via Iterative Refinement(2022)1,580 cited
• → Palette: Image-to-Image Diffusion Models(2022)1,427 cited
• → Improved Techniques for Training GANs(2016)1,383 cited
• → Dota 2 with Large Scale Deep Reinforcement Learning(2019)1,043 cited
• → Evolution Strategies as a Scalable Alternative to Reinforcement Learning(2017)1,015 cited
• → Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks(2016)928 cited
• Improved Variational Inference with Inverse Autoregressive Flow(2016)
• → Classifier-Free Diffusion Guidance(2022)731 cited