Presenters:

Yu-Lin Wei (UIUC)

Romit Roy Choudhury (UIUC)

This was a 7 hour tutorial on Nov 18, 2024 at Washington D.C. The slides and videos from the tutorial are made available below.

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https://www.youtube.com/watch?v=kQi8Xlq5aXw

Full youtube playlist link: here

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Module 0 / 6: Few words before we start

Prerequisite notes:

probability_cheat_sheet.pdf

All slides in a single slide deck:

2024_genModel_tutorial_nov10.pptx

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https://www.youtube.com/watch?v=78C0GW7WlTU

Module 1 / 6 : Whole tutorial in a nutshell

Slides:

1_Overview_of_all_topics.pptx

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https://www.youtube.com/watch?v=ot3wqYDu2Lg

Module 2 / 6 : Math foundations (Bayes, EM, MLE)

Slides:

2_Probability_warmup_Bayes_MLE_EM.pptx

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https://www.youtube.com/watch?v=3dPoXiaaIKg

Module 3 / 6 : Autoencoders (AE) and Variational AE (VAE)

Slides:

3_Latent_models_AE_VAE.pptx

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https://www.youtube.com/watch?v=t1QGbbIqkzE

Module 4 / 6 : Diffusion Models

Slides:

4_Diffusion1_VDM_DDPM.pptx

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https://www.youtube.com/watch?v=56gqmYznKVM

Module 5 / 6 : Diffusion Models (Langevin and Score)

Slides:

5_Diffusion2_score_langevin.pptx

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https://www.youtube.com/watch?v=F2asIvlfmK4&list=PLdEHFL-h6AfqsL2D5cIMdfDJnA_EGqYuY&index=7&t=10s&pp=gAQBiAQB

Module 6 / 6 : GANs and Normalizing Flows

Slides:

6_GAN.pptx

6_Flow.pptx

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Tutorial Flowchart (tentative)

Tutorial Prerequisites

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Tutorial Content

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