Blocking Versus Non-Blocking Halo Exchange. - Anthony Bourached (CoRR, 2017)

Raiders of the Lost Art. - Anthony Bourached; George Cann (CoRR, 2019)

Unsupervised Videographic Analysis of Rodent Behaviour. - Anthony Bourached; Parashkev Nachev (CoRR, 2019)

Generative Model-Enhanced Human Motion Prediction. - Anthony Bourached; Ryan-Rhys Griffiths; Robert J. Gray; Ashwani Jha; Parashkev Nachev (CoRR, 2020)

Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. - Anthony Bourached; George H. Cann; Ryan-Rhys Griffiths; David G. Stork (Computer Vision and Image Analysis of Art, 2021)

Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. - George H. Cann; Anthony Bourached; Ryan-Rhys Griffiths; David G. Stork (Computer Vision and Image Analysis of Art, 2021)

Computational identification of significant actors in paintings through symbols and attributes. - David G. Stork; Anthony Bourached; George H. Cann; Ryan-Rhys Griffiths (Computer Vision and Image Analysis of Art, 2021)

Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. - Anthony Bourached; Robert J. Gray; Ryan-Rhys Griffiths; Ashwani Jha; Parashkev Nachev (CoRR, 2021)

Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. - Gregory Kell; Ryan-Rhys Griffiths; Anthony Bourached; David G. Stork (Computer Vision and Image Analysis of Art, 2022)

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)