Beyond permutation equivariance in graph networks. - Emma Slade; Francesco Farina (CoRR, 2021)

Symmetry-driven graph neural networks. - Francesco Farina; Emma Slade (CoRR, 2021)

Data efficiency in graph networks through equivariance. - Francesco Farina; Emma Slade (CoRR, 2021)

GNisi: A graph network for reconstructing Ising models from multivariate binarized data. - Emma Slade; Sonya Kiselgof; Lena Granovsky; Jeremy L. England (CoRR, 2021)

Deep reinforced active learning for multi-class image classification. - Emma Slade; Kim M. Branson (CoRR, 2022)

Mining of Single-Class by Active Learning for Semantic Segmentation. - Hugues Lambert; Emma Slade (CoRR, 2023)

Self-supervised learning of multi-omics embeddings in the low-label, high-data regime. - Christian John Hurry; Emma Slade (CoRR, 2023)

User acceptance of autonomous vehicles: a mixed-methods study. - Xiaofan Chen; Emma Slade; Xiaojun Wang 002; Davit Marikyan (Ind. Manag. Data Syst., 2025)

Dataset Distillation as Pushforward Optimal Quantization. - Hong Ye Tan; Emma Slade (CoRR, 2025)

Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy. - Christian John Hurry; Jinjie Zhang; Olubukola Ishola; Emma Slade; Cuong Q. Nguyen (CoRR, 2025)