This is the website for the ML Theory reading group organized by Jacob Abernethy and Vidya Muthukumar in the School of Computer Science at the Georgia Institute of Technology. We meet every Friday in the CODA building. Email Tyler LaBonte at tlabonte@gatech.edu if you wish to attend.
If you’re looking for the CS7545: Machine Learning Theory course website, click here.
Meetings Schedule and presenters
Spring 2025 Topic: Theory of Diffusion Models
| Date | Paper | Presenter |
|---|---|---|
| 07 Feb 2025 | Step-by-Step Diffusion: An Elementary Tutorial, Chapters 1-2 | Tyler LaBonte |
| 14 Feb 2025 | Step-by-Step Diffusion: An Elementary Tutorial, Chapters 3-4 | Kuo-Wei Lai |
| 21 Feb 2025 | Score-Based Generative Modeling through Stochastic Differential Equations | Yun-Feng Lo |
| 28 Feb 2025 | Score-Based Generative Modeling with Critically-Damped Langevin Diffusion | Kason Ancelin |
| 07 Mar 2025 | Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions | Leyan Pan |
| 14 Mar 2025 | Optimal score estimation via empirical Bayes smoothing | Andre Wibisono |
| 21 Mar 2025 | No meeting due to Spring Break | |
| 28 Mar 2025 | Flow Matching Guide and Code, Chapters 2-3 | Rakshit Naidu |
| 04 Apr 2025 | Flow Matching Guide and Code, Chapter 4 | Guanghui Wang |
| 11 Apr 2025 | Flow Matching Guide and Code, Chapters 6-8 | |
| 18 Apr 2025 | Flow Matching Guide and Code, Chapters 9-10 | |
| 25 Apr 2025 |
Previous semesters: Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2018, Spring 2018, Fall 2017