Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy. - Hunter Gabbard; Chris Messenger; Ik Siong Heng; Francesco Tonolini; Roderick Murray-Smith (CoRR, 2019)

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. - Marlin B. Schäfer; Ondrej Zelenka; Alexander H. Nitz; He Wang 018; Shichao Wu; Zong-Kuan Guo; Zhoujian Cao; Zhixiang Ren; Paraskevi Nousi; Nikolaos Stergioulas; Panagiotis Iosif; Alexandra E. Koloniari; et al. (CoRR, 2022)

Importance nested sampling with normalising flows. - Michael J. Williams; John Veitch; Chris Messenger (Mach. Learn. Sci. Technol., 2023)

Efficacy of image similarity as a metric for augmenting small dataset retinal image segmentation. - Thomas Wallace; Ik Siong Heng; Senad Subasic; Chris Messenger (Comput. Biol. Medicine, 2025)