Reading Notes

Notes and summaries from reading ML/AI papers (and some blog posts). All credit to the content in the papers and blog posts goes to the original authors.

Generative Modeling by Estimating Gradients of the Data Distribution

score function generative modeling

4 min read · December 25, 2025

2025 · distillation
What are Diffusion Models?

Lilian Weng Diffusion Blog Post (Discrete)

11 min read · December 25, 2025

2025 · distillation
Building Diffusion Model's theory from ground up

ICLR Diffusion explained blogpost

3 min read · December 24, 2025

2025 · distillation
Weight-sparse transformers have interpretable circuits

Leo Gao OpenAI sparse circuits

6 min read · December 07, 2025

2025 · distillation
Between the Bars: Gradient-based Jailbreaks are Bugs that induce Features

Gradient Based Jailbreaking

2 min read · December 07, 2025

2025 · distillation