Readings

Papers I recommend

The clearest treatments I have found of a few machine learning ideas

• An introduction to variational autoencoders Kingma & Welling, 2019
• Monte Carlo gradient estimation in machine learning Mohamed, Rosca, Figurnov & Mnih, JMLR 2020
• Normalizing flows for probabilistic modeling and inference Papamakarios et al., JMLR 2021
• Tutorial on diffusion models for imaging and vision Chan, 2024