Writeups for a wide variety of things. Some contain TODOs; if you happen to know how to resolve them, or observe that anything looks wrong, please don't hesitate to reach out!
Course Notes
CS 184: Computer Graphics and Imaging
May 19, 2024
All things graphics: rasterization, filtering and sampling, geometry, materials, light transport and image synthesis, cameras, physical simulation, virtual reality, among other things.
CS 285: Deep Reinforcement Learning
December 15, 2023
Graduate course on reinforcement learning, control, and deep learning. Imitation learning; model-free, model-based, and offline algorithms; multitask learning and other miscellaneous.
CS 182: Deep Neural Networks
December 14, 2023
2010s deep learning: Classical vision and sequence models, transformer-based architectures, self-supervised learning, meta-learning.
Artifacts
Before undergrad, I considered studying pure math. Here are some summaries
of what I was reading at the time.
Covering Spaces
August 15, 2021
The fundamental group, covering maps and topology, lifting properties of paths and homotopies, and the universal cover.
Matrix Lie Groups
June 1, 2020
An introduction to Lie theory through matrix Lie groups: exponentiation, tangent spaces, algebras, homomorphisms, and Baker–Campbell–Hausdorff formula.