Notes
A collection of notes, expositions, and slides from my studies.
Machine learning
- Deep Linear Networks: Autobalancing of layers
- Deep Linear Networks: Characterizing the Minimizer
- Deep Linear Networks: Effect of Noise and Discretization
- Deep Linear Networks: Implicit Acceleration
- Deep Linear Networks: Open Problems
Probability statistics
- Discretization Issues in Sampling
- Estimation of Transport Maps
- Log Concave Sampling
- Mean Field Neural Networks and Transformers
- Optimal Transport
- Stochastic Localization