2025
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
NeurIPS 2025poster
Equivariant network architectures are a well-established tool for predicting invariant or equivariant quantities. However, almost all learning problems considered in this context feature a global symmetry, i.e. each point of the underlying space is transformed with the same group element, as opposed…