Human-in-the-loop AI in government: a case study. - Lanthao Benedikt; Chaitanya Joshi; Louisa Nolan; Ruben Henstra-Hill; Luke Shaw; Sharon Hook (IUI, 2020)

Optogenetic activation of corticogeniculate feedback stabilizes response gain and increases information coding in LGN neurons. - Allison J. Murphy; Luke Shaw; J. Michael Hasse; Robbe L. T. Goris; Farran Briggs (J. Comput. Neurosci., 2021)

Split Hamiltonian Monte Carlo revisited. - Fernando Casas; Jesús María Sanz-Serna; Luke Shaw (Stat. Comput., 2022)

A New Optimality Property of Strang's Splitting. - Fernando Casas; Jesús María Sanz-Serna; Luke Shaw (SIAM J. Numer. Anal., 2023)

Generalized extrapolation methods based on compositions of a basic 2nd-order scheme. - Sergio Blanes; Fernando Casas; Luke Shaw (Appl. Math. Comput., 2024)

Bayesian computation with generative diffusion models by Multilevel Monte Carlo. - Abdul-Lateef Haji-Ali; Marcelo Pereyra; Luke Shaw; Konstantinos Zygalakis (CoRR, 2024)

Random Reshuffling for Stochastic Gradient Langevin Dynamics. - Luke Shaw; Peter A. Whalley (CoRR, 2025)

Polynomial Inequalities and Optimal Stability of Numerical Integrators. - Luke Shaw (CoRR, 2025)

Randomised Splitting Methods and Stochastic Gradient Descent. - Luke Shaw; Peter A. Whalley (CoRR, 2025)