collaborators

6 papers

hep-th2026

Axioms for physical reasoning: codifying the Seiberg--Witten solution in Lean

Michael R. Douglas

Mathematicians have embraced interactive theorem provers with growing enthusiasm -- building large shared libraries and machine-checking a string of landmark results. Theoretical p…

cs.AI2026

Artificial Intelligence and the Structure of Mathematics

Maissam Barkeshli, Michael R. Douglas, Michael H. Freedman

Recent progress in artificial intelligence (AI) is unlocking transformative capabilities for mathematics. There is great hope that AI will help solve major open problems and autono…

math.DG2025

Harmonic -forms on real loci of Calabi-Yau manifolds

Michael R. Douglas, Daniel Platt, Yidi Qi +1

We numerically study whether there exist nowhere vanishing harmonic -forms on the real locus of some carefully constructed examples of Calabi-Yau manifolds, which would then giv…

cs.LG2025

Diffusion Models for Cayley Graphs

Michael R. Douglas, Kit Fraser-Taliente

We review the problem of finding paths in Cayley graphs of groups and group actions, using the Rubik's cube as an example, and we list several more examples of significant mathemat…

math.HO2025

Mathematical Data Science

Michael R. Douglas, Kyu-Hwan Lee

Can machine learning help discover new mathematical structures? In this article we discuss an approach to doing this which one can call "mathematical data science". In this paradig…

econ.GN2025

Progress in Artificial Intelligence and its Determinants

Michael R. Douglas, Sergiy Verstyuk

We study long-run progress in artificial intelligence in a quantitative way. Many measures, including traditional ones such as patents and publications, machine learning benchmarks…