Recent Attendances & Talks

2025

AI for Mathematics Workshop

I (virtually) attended the Workshop on AI for Mathematics and Formal Mathematics at the Simons Institute Berkeley.

Average-case Algorithmic Hardness Workshop

I gave a contributed talk at the Les Houches Workshop on Towards a Theory for Typical-Case Algorithmic Hardness.

Joint Mathematics Meetings

I gave a talk at the AMS Special Session on Topological, Algebraic, and Geometric Methods for Safe, Robust, and Explainable Machine Learning

2024

SIAM Math and Data

I delivered a talk in the Algebraic Geometry and Machine Learning Session, geared towards understanding distillation and exploring the possibility of structured distillation algorithms based on our NeurIPS paper “Should Under-parameterized Student Networks Copy or Average Teacher Weights?”