Math AI Seminar
Math AI Seminar
The Math AI Seminar is a research seminar on computer-assisted mathematics with topics ranging from mathematical formalization, the integration of machine learning tactics in mathematical formalization, the mathematical theory of machine learning and artificial intelligence, and applying machine learning techniques in pure mathematical research.
Past Events
- Lower bounds on neural networks and slicing the hypercube (Gal Yehuda, Yale University) -
- Math AI Lab Winter 2025 Projects (Math AI Lab) -
- Diffusion Generative Modeling: Making Pictures from Noise with Math (Vasily Ilin) -
- Formalizing mathematics in the eXperimental Lean Lab (Experimental Lean Lab) -
- Generating Functions in Lean (Herman Chau, University of Washington) -