MIT 6.S192 - Lecture 22: Diffusion Probabilistic Models, Jascha Sohl-Dickstein

Jascha Sohl-Dickstein Senior Staff Research Scientist in the Brain Group at Google http://www.sohldickstein.com/ More about the course: http://deepcreativity.csail.mit.edu/ Information about accessibility can be found at https://accessibility.mit.edu/

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Diffusion Models Explained : From DDPM to Stable Diffusion
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Diffusion Models Explained : From DDPM to Stable Diffusion

Tutorial: Video Diffusion Models. Mike Shou, 2023.
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Tutorial: Video Diffusion Models. Mike Shou, 2023.

History of Diffusion - Jascha Sohl-Dickstein
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History of Diffusion - Jascha Sohl-Dickstein

MIT 6.S191 (2023): Deep Generative Modeling
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MIT 6.S191 (2023): Deep Generative Modeling

More Than Image Generators: A Science of Problem-Solving using Probability | Diffusion Models
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More Than Image Generators: A Science of Problem-Solving using Probability | Diffusion Models

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

Diffusion and Score-Based Generative Models
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Diffusion and Score-Based Generative Models

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 02: Flow Matching (2026)
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MIT 6.S184: Flow Matching and Diffusion Models - Lecture 02: Flow Matching (2026)

Diffusion Models: DDPM | Generative AI Animated
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Diffusion Models: DDPM | Generative AI Animated

MIT 6.S192 - Lecture 20: Generative art using diffusion, Prafulla Dhariwal
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MIT 6.S192 - Lecture 20: Generative art using diffusion, Prafulla Dhariwal

MIT Godel Escher Bach Lecture 1
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MIT Godel Escher Bach Lecture 1

CS 198-126: Lecture 12 - Diffusion Models
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CS 198-126: Lecture 12 - Diffusion Models

Miika Aittala: Elucidating the Design Space of Diffusion-Based Generative Models
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Miika Aittala: Elucidating the Design Space of Diffusion-Based Generative Models

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 1 - Generative AI with SDEs
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MIT 6.S184: Flow Matching and Diffusion Models - Lecture 1 - Generative AI with SDEs

Yann LeCun's $1B Bet Against LLMs [Part 1]
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Yann LeCun's $1B Bet Against LLMs [Part 1]

2022.10 Variational autoencoders and Diffusion Models - Tim Salimans
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2022.10 Variational autoencoders and Diffusion Models - Tim Salimans

Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data
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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 - Generative AI with SDEs (2025)
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MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Generative AI with SDEs (2025)

Lesson 9: Deep Learning Foundations to Stable Diffusion
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Lesson 9: Deep Learning Foundations to Stable Diffusion

Introduction to DDPMs (Denoising Diffusion Probabilistic Models) & Medical Imaging
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Introduction to DDPMs (Denoising Diffusion Probabilistic Models) & Medical Imaging