no code implementations • 21 Apr 2022 • Jiakang Bao, Yang-Hui He, Elli Heyes, Edward Hirst
We review some recent applications of machine learning to algebraic geometry and physics.
no code implementations • 7 Jun 2021 • Jiakang Bao, Yang-Hui He, Edward Hirst
We apply methods of machine-learning, such as neural networks, manifold learning and image processing, in order to study 2-dimensional amoebae in algebraic geometry and string theory.
no code implementations • 5 Sep 2020 • Jiakang Bao, Yang-Hui He, Yan Xiao
We study chiral rings of 4d $\mathcal{N}=1$ supersymmetric gauge theories via the notion of K-stability.
High Energy Physics - Theory Algebraic Geometry