Media Summary: Alex M. Tseng presents the paper "Hierarchically branched Yilun Du, PhD student at MIT EECS, presents the paper 'Planning with VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Lecture 19 Flexible Diffusion Modeling - Detailed Analysis & Overview

Alex M. Tseng presents the paper "Hierarchically branched Yilun Du, PhD student at MIT EECS, presents the paper 'Planning with VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation All lesson resources are available at In this lesson, Jeremy introduces Dropout, a technique for improving ... For more information about Stanford's Artificial Intelligence programs, visit: To follow along with the course, ...

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Lecture 19 - Flexible Diffusion Modeling of Long Videos
Hierarchically branched diffusion models
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model Training
Planning with Diffusion for Flexible Behavior Synthesis
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Lesson 19: Deep Learning Foundations to Stable Diffusion
Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data
MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Flow and Diffusion Models (2026)
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Lecture 19 - Flexible Diffusion Modeling of Long Videos

Lecture 19 - Flexible Diffusion Modeling of Long Videos

Okay um this is our presentation on

Hierarchically branched diffusion models

Hierarchically branched diffusion models

Alex M. Tseng presents the paper "Hierarchically branched

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model Training

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model Training

Learn more details about this course: https://online.stanford.edu/courses/cme296-

Planning with Diffusion for Flexible Behavior Synthesis

Planning with Diffusion for Flexible Behavior Synthesis

Yilun Du, PhD student at MIT EECS, presents the paper 'Planning with

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Lesson 19: Deep Learning Foundations to Stable Diffusion

Lesson 19: Deep Learning Foundations to Stable Diffusion

All lesson resources are available at http://course.fast.ai.) In this lesson, Jeremy introduces Dropout, a technique for improving ...

Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data

Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data

For more information about Stanford's Artificial Intelligence programs, visit: https://stanford.io/ai To follow along with the course, ...

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Flow and Diffusion Models (2026)

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Flow and Diffusion Models (2026)

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