Lecture Notes
Self-contained notes and interactive browser demonstrations covering selected topics in machine learning.
- Reinforcement Learning, From MDPs and value functions through PPO and GRPOSeries
- 3D & 4D Reconstruction, From cameras and projection to NeRF, Gaussian splatting, and modern 4D modelsNew series
- Reward Models, Fifteen chapters, from scalar and pairwise RMs through ORMs, PRMs, value models, generative judges, DPO, and ensemblesNotes
- Self-Supervised Learning, Concepts, methods, and selected paper walkthroughsNotes