Ali Rayat
2 papers · Latest:
Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories
This paper introduces a gauge-invariant Graph Neural Network (GNN) architecture for Abelian lattice gauge theories, accurately predicting observables and simulating dynamics.
2605.03901
Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories
Introduces a gauge-equivariant GNN that embeds non-Abelian symmetry into message passing for learning in lattice gauge theories.
2604.20797
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.