A Multigraph Approach for Performing the Quantum Schur Transform. - Edward Pearce-Crump (CoRR, 2022)

Brauer's Group Equivariant Neural Networks. - Edward Pearce-Crump (ICML, 2023)

How Jellyfish Characterise Alternating Group Equivariant Neural Networks. - Edward Pearce-Crump (ICML, 2023)

Categorification of Group Equivariant Neural Networks. - Edward Pearce-Crump (CoRR, 2023)

An Algorithm for Computing with Brauer's Group Equivariant Neural Network Layers. - Edward Pearce-Crump (CoRR, 2023)

Graph Automorphism Group Equivariant Neural Networks. - Edward Pearce-Crump (CoRR, 2023)

Compact Matrix Quantum Group Equivariant Neural Networks. - Edward Pearce-Crump (CoRR, 2023)

Connecting Permutation Equivariant Neural Networks and Partition Diagrams. - Edward Pearce-Crump (ECAI, 2024)

Graph Automorphism Group Equivariant Neural Networks. - Edward Pearce-Crump; William J. Knottenbelt (ICML, 2024)

A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks. - Edward Pearce-Crump; William J. Knottenbelt (CoRR, 2024)

Permutation Equivariant Neural Networks for Symmetric Tensors. - Edward Pearce-Crump (CoRR, 2025)