Plans for the week of April 29- May 3

Dear all, welcome back to a new week with FYS5429/9429.

This week we continue with our discussion of 

Deep generative models

Our focus is on

1. Summary of Variational Autoencoders

2. Generative Adversarial Networks (GANs)

3. Start discussion of diffusion models

For the lecture this week we recommend the following background reading with discussion of codes as well

1. Reading recommendation: Goodfellow et al, for GANs see sections 20.10-20.11

2. For codes and background, see Raschka et al, Machine with PyTorch and Scikit-Learn, chapter 17, see https://github.com/rasbt/python-machine-learning-book-3rd-edition/tree/master/ch17 for codes

3. Babcock and Bali, Generative AI with Python and TensorFlow2, chapter 6 and codes at https://github.com/raghavbali/generative_ai_with_tensorflow/blob/master/Chapter_6/conditional_gan.ipynb

The weekly material (additional text will be added by Monday) is at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week15/ipynb/week15.ipynb

We will have a regular lecture on Tuesday May 7 as well and we may also have our final lecture the week thereafter. Note that for that week we will need to change day to Monday the 13th due to a workshop from Tuesday the 14th to May 16, see https://sites.google.com/view/physmlworkshop24/home for more info. This workshop may be of interest to many of you. 

Best wishes for the coming week,

Keran, Morten and Ruben