Yang Song
Yang Song is a Research Principal at Meta Superintelligence Labs, where he works with Chief Scientist Shengjia Zhao to shape the lab's research direction. He previously led the strategic explorations team at OpenAI and earned his Ph.D. in Computer Science from Stanford University under the supervision of Stefano Ermon. He is best known for developing score-based generative models, a foundational technique behind modern diffusion models used across image, video, and audio generation.
“We kind of like came up with this idea of let's train a neural network to denoise images... And that basically became the kind of like underlying technology of modern diffusion models... with my PhD student, Yang Song.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.