Distributional Autoencoders Know the Score
The episode discusses 'Distributional Autoencoders Know the Score,' a paper by Andrej Leban from the University of Michigan. Hosts explore how this specific autoencoder learns the data's score function, which describes data density. The paper also provides a testable method to identify a data's intrinsic dimension, showing that extra latent dimensions become uninformative.