Mathematical Modelling of Turning Delays in Swarm Robotics. - Jake P. Taylor-King; Benjamin Franz; Christian A. Yates; Radek Erban (CoRR, 2014)

Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data. - Jake P. Taylor-King; Cristian Regep; Jyothish Soman; Flawnson Tong; Catalina Cangea; Charlie Roberts (CoRR, 2020)

Utilising Graph Machine Learning within Drug Discovery and Development. - Thomas Gaudelet; Ben Day; Arian R. Jamasb; Jyothish Soman; Cristian Regep; Gertrude Liu; Jeremy B. R. Hayter; Richard Vickers; Charles Roberts; Jian Tang 005; David Roblin; Tom L. Blundell; et al. (CoRR, 2020)

Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming. - Jake P. Taylor-King; Asbjørn Nilsen Riseth; Will Macnair; Manfred Claassen (PLoS Comput. Biol., 2020)

Utilizing graph machine learning within drug discovery and development. - Thomas Gaudelet; Ben Day; Arian R. Jamasb; Jyothish Soman; Cristian Regep; Gertrude Liu; Jeremy B. R. Hayter; Richard Vickers; Charles Roberts; Jian Tang 005; David Roblin; Tom L. Blundell; et al. (Briefings Bioinform., 2021)

RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro. - Paul Bertin; Jarrid Rector-Brooks; Deepak Sharma; Thomas Gaudelet; Andrew Anighoro; Torsten Gross; Francisco Martinez-Pena; Eileen L. Tang; Suraj M. S; Cristian Regep; Jeremy B. R. Hayter; Maksym Korablyov; et al. (CoRR, 2022)

PyRelationAL: A Library for Active Learning Research and Development. - Paul Scherer; Thomas Gaudelet; Alison Pouplin; Suraj M. S; Jyothish Soman; Lindsay Edwards; Jake P. Taylor-King (CoRR, 2022)

No Foundations without Foundations - Why semi-mechanistic models are essential for regulatory biology. - Luka Kovacevic; Thomas Gaudelet; James Opzoomer; Hagen Triendl; John Whittaker; Caroline Uhler; Lindsay Edwards; Jake P. Taylor-King (CoRR, 2025)