Quantification of HTLV-1 Clonality and TCR Diversity. - Daniel J. Laydon; Anat Melamed; Aaron Sim; Nicolas A. Gillet; Kathleen Sim; Sam Darko; J. Simon Kroll; Daniel C. Douek; David A. Price; Charles R. M. Bangham; Becca Asquith (PLoS Comput. Biol., 2014)

Great cities look small. - Aaron Sim; Sophia N. Yaliraki; Mauricio Barahona; Michael P. H. Stumpf (CoRR, 2015)

Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs. - Daniel Neil; Joss Briody; Alix Lacoste; Aaron Sim; Páidí Creed; Amir Saffari (CoRR, 2018)

Directed Graph Embeddings in Pseudo-Riemannian Manifolds. - Aaron Sim; Maciej Wiatrak; Angus Brayne; Páidí Creed; Saee Paliwal (ICML, 2021)

Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval. - Maciej Wiatrak; Eirini Arvaniti; Angus Brayne; Jonas Vetterle; Aaron Sim (LOUHI@EMNLP, 2022)

Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations. - Saee Paliwal; Angus Brayne; Benedek Fabian; Maciej Wiatrak; Aaron Sim (AKBC, 2022)

Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness. - Adam Foster 001; Árpi Vezér; Craig A. Glastonbury; Páidí Creed; Samer Abujudeh; Aaron Sim (ICML, 2022)

Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies. - Andre Vauvelle; Hamish Tomlinson; Aaron Sim; Spiros C. Denaxas (CoRR, 2022)