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Diffusion, Probability, and the Age of Creative AI

Offered By: USC Information Sciences Institute via YouTube

Tags

Diffusion Models Courses Computer Science Courses Artificial Intelligence Courses Machine Learning Courses Generative AI Courses Information Theory Courses Probability Theory Courses Image Generation Courses

Course Description

Overview

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Explore the cutting-edge world of denoising diffusion models and their impact on AI art generation in this 58-minute lecture presented by Greg Ver Steeg from UC Riverside. Gain a high-level overview of recent developments in the field and delve into a new information-theoretic foundation for diffusion models. Discover how this innovative approach establishes an exact equivalence between probability and optimal denoising, leading to improvements in density estimation, interpretability through information decomposition, and faster sampling. Learn from Ver Steeg's expertise in incorporating physics and information theory concepts into machine learning to understand complex systems like human behavior and biology.

Syllabus

Diffusion, Probability, and the Age of Creative AI


Taught by

USC Information Sciences Institute

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