Week 11

Lecture

• Lecture #20: Variational Autoencoders
  • Lecture Video
  • Lecture Notes
• Lecture #21: Implementing Variational Autoencoders
  • Lecture Notes

Activities

• In-Class Exercise #20: Understanding VAEs
• In-Class Exercise #20: Solutions
• In-Class Exercise #21: Implementing VAEs
• In-Class Exercise #21: Solutions

Reading

Applications and Broader Impact

1. Remember the ‘deepfake cheerleader mom’? Prosecutors now admit they can’t prove fake-video claims.
2. Fighting deepfakes when detection fails
3. Using Generative AI to Accelerate Drug Discovery
4. Positive Use Cases of Deepfakes

Variational Autoencoders

1. (Original VAE paper) Auto-Encoding Variational Bayes
2. (Thorough) An Introduction to Variational Autoencoders
3. (Thorough) Tutorial on Variational Autoencoders
4. (First Section is Introductory) A Tutorial on Information Maximizing Variational Autoencoders (InfoVAE)
5. (Implementation) Example Implementation on Autograd’s Github