person
Stefano Ermon
Stanford; generative models pioneer
Stanford associate professor; co-author of foundational papers on score-based generative models (the technical underpinning of modern diffusion models).
current Associate Professor of Computer Science, Stanford University
past Co-founder, Inflection AI
Strategy positions
Accelerationendorsestentative
Build faster; delay costs more than capabilityPioneered score-based generative models that became the technical backbone of diffusion-driven image, audio, and video synthesis; views capability research as essential to safe deployment.
Score-based generative models learn the gradient of the log data distribution. The framework unifies many seemingly disparate generative model families and underpins modern diffusion models.
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Record last updated 2026-04-25.