Miranda C. N. Cheng

Learning Topological Features of $\widehat Z$-invariants

This paper initiates a systematic approach to handling mathematical data structured as (truncated) infinite $q-series, or equivalently, infinite series of integers, and demonstrates that neural networks can reliably extract essential topological information, such as homology class and underlying graph structure, directly from the $q$-series coefficients.