Generative Models
Notes on VAEs, diffusion models, and other generative approaches.
Machine Learning
Notes on ML methods, architectures, and foundational papers.
Classic Papers
Foundational papers in machine learning and information theory.
Geometric Deep Learning
Notes on equivariant networks, graph neural networks, and symmetry.