Miscellaneous
Things I have/plan to participated in
- 2026 Duke-ORNL Workshop on Advanced Microscopy & Data-Driven Materials Science; [Fall 2026, Duke University]
- Rhodes IID Adventures in Sampling; [Fall 2026, Duke University]
- Duke Math Graduate Summer School in Stochastics, Dynamics, and Machine Learning; [Summer 2026, Duke University]
- Gene Golub SIAM Summer School on Fault-tolerant Algorithms in Quantum Computing; [Summer 2026, Duke University]
- QuEra Neutral Atom and Quantum Error Correction Workshop at ORNL; [Summer 2026, Oak Ridge National Lab]
- Rhodes IID Algorithmic Advances in Generative AI Conference; [Spring 2026, Duke University]
Resources I like
- MSRI Summer School on Electronic Structure Theory; by Lin Lin and Jianfeng Lu; 2016 [recordings on MSRI here]
- Handbook of Convergence Theorems for (Stochastic) Gradient Methods; by Guillaume Garrigos and Robert M. Gower; last revised 2024 [arxiv here]
- An Introduction to Flow Matching and Diffusion Models; by Peter Holderrieth and Ezra Erives; last revised 2026 [arxiv here]
- An Introduction to Variational Autoencoders; by Durk Kingma and Max Welling; last revised 2019 [arxiv here]
Links I visit often
- Duke Math events page [link here]
- Math REU programs; maintained by Steve Butler [link here]
- HoopGrids.com
- Era Ball