Assessing a Refugee Camp in Mayukwayukwa Zambia. - Janelle Isenhart; Erika Ervin; Jiashu Yang; Jacob Moss; Alan Rolf Mickelson (GHTC, 2019)

Gene Regulatory Network Inference with Latent Force Models. - Jacob Moss; Pietro Lió (CoRR, 2020)

Neural ODE Processes. - Alexander Norcliffe; Cristian Bodnar; Ben Day; Jacob Moss; Pietro Liò (ICLR, 2021)

Meta-learning using privileged information for dynamics. - Ben Day; Alexander Norcliffe; Jacob Moss; Pietro Liò (CoRR, 2021)

Modular Neural Ordinary Differential Equations. - Max Zhu; Pietro Lió; Jacob Moss (CoRR, 2021)

Approximate Latent Force Model Inference. - Jacob Moss; Felix L. Opolka; Bianca Dumitrascu; Pietro Lió (CoRR, 2021)

GAUCHE: A Library for Gaussian Processes in Chemistry. - Ryan-Rhys Griffiths; Leo Klarner; Henry B. Moss; Aditya Ravuri; Sang Truong; Bojana Rankovic; Yuanqi Du; Arian R. Jamasb; Julius Schwartz; Austin Tripp; Gregory Kell; Anthony Bourached; et al. (CoRR, 2022)

GAUCHE: A Library for Gaussian Processes in Chemistry. - Ryan-Rhys Griffiths; Leo Klarner; Henry B. Moss; Aditya Ravuri; Sang Truong; Yuanqi Du; Samuel Stanton; Gary Tom; Bojana Rankovic; Arian Rokkum Jamasb; Aryan Deshwal; Julius Schwartz; et al. (NeurIPS, 2023)

Deep Kernel Learning of Nonlinear Latent Force Models. - Jacob Moss; Jeremy L. England; Pietro Lio (Trans. Mach. Learn. Res., 2024)