S8 The Diffusion Duality

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Today, Subham Sahoo (IFM), Justin Deschenaux (EPFL) and Zhihan Yang (Cornell) are presenting ``The Hmm, as I recorded this I realize I don't understand the specifics of this paper - since I can't explain them well! So apologies for the ... For more information about Stanford's Artificial Intelligence programs, visit: To follow along with the course, ... We host Chieh-Hsin (Jesse) Lai, Staff Research Scientist at Sony AI and visiting professor at National Yang Ming Chiao Tung ... All right let's go um cool yeah so I'm going to talk about uh Date: Oct 11, 2024 Abstract: Modern generative AI has developed along two distinct paths: autoregressive models for discrete ...

Why Diffusion Models Don’t Memorize - NeurIPS 2025 Analysis

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Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data
The Principles of Diffusion Models - with Jesse Lai (Sony AI)
Simple Diffusion Language Models
[M2L 2025] 5.2 Diffusion models - Sander Dieleman
Diffusion Models explained..
Calvin Luo - Understanding diffusion models: A unified perspective
Discrete generative modeling with masked diffusions (Jiaxin Shi, Google DeepMind)
Why Diffusion Models Don’t Memorize - NeurIPS 2025 Analysis
The diffusion model (DDPM) – the basics | Generative AI

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Last Updated: June 14, 2026

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