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Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Offered By: Generative Memory Lab via YouTube

Tags

Diffusion Models Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Neural Networks Courses Generative Models Courses

Course Description

Overview

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Explore a groundbreaking approach to generative diffusion models in discrete-state spaces through this 48-minute conference talk by Yen Ting Lin from the Generative Memory Lab. Delve into the innovative concepts presented in the paper "Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces," which introduces a novel framework for applying diffusion models to discrete data. Gain insights into the potential applications and implications of this research for various fields, including natural language processing and image generation.

Syllabus

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces


Taught by

Generative Memory Lab

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