This IPAM workshop explores how algebraic geometry can provide new theoretical insights and frameworks for understanding machine learning systems.
Workshop I: Numerical Algebraic Geometry at IPAM focuses on computational methods for large polynomial systems in algebraic geometry and electronic structure theory.
This IPAM workshop supports research at the intersection of algebraic geometry and electronic structure theory, focusing on computational and algebraic methods for quantum systems.
Workshop II: Contact Geometry, Cluster Algebras and Skein Theory supports experts through a research workshop to build connections among contact and symplectic geometry, cluster algebras, and skein theory.
A workshop by IPAM exploring new mathematical and algorithmic methods to ensure reliable, interpretable, and robust next-generation AI systems.
Workshop III at IPAM advances algebraic, computational, and machine learning methods for electronic structure and molecular response function research.