Скачать или смотреть AI Alliance: Advancing Discrete Diffusion Models: New Guidance Mechanisms & Sampling Methods

Dive into the latest advances in discrete diffusion modeling! Cornell PhD student Yair Schiff reviews recent progress and introduces improved guidance mechanisms for discrete data generation.
Join the AI Alliance Community:
🚀 Technical Deep Dive:
State-of-the-art absorbing state diffusion models
Adaptation of guidance mechanisms for discrete diffusion
Enhanced sampling methods for better performance
Applications to accelerated scientific discovery

📚 Perfect For:

ML researchers working with discrete data
Scientists interested in generative modeling
Anyone exploring diffusion models beyond continuous spaces

👨‍💻 About the Speaker:
Yair is a third-year PhD student at Cornell University (Cornell Tech NYC), advised by Prof. Volodymyr Kuleshov, specializing in generative modeling for scientific applications.
📄 Research Paper: https://arxiv.org/abs/2412.10193
#DiffusionModels #GenerativeAI #MachineLearning #DiscreteData #ComputerScience #AI #Research #Cornell