Light field completion using focal stack propagation. - Terence Broad; Mick Grierson (SIGGRAPH Posters, 2016)

Autoencoding Blade Runner: reconstructing films with artificial neural networks. - Terence Broad; Mick Grierson (SIGGRAPH Art Gallery, 2017)

Searching for an (un)stable equilibrium: experiments in training generative models without data. - Terence Broad; Mick Grierson (CoRR, 2019)

Transforming the output of GANs by fine-tuning them with features from different datasets. - Terence Broad; Mick Grierson (CoRR, 2019)

Amplifying The Uncanny. - Terence Broad; Frederic Fol Leymarie; Mick Grierson (CoRR, 2020)

Network Bending: Manipulating The Inner Representations of Deep Generative Models. - Terence Broad; Frederic Fol Leymarie; Mick Grierson (CoRR, 2020)

Network Bending: Expressive Manipulation of Deep Generative Models. - Terence Broad; Frederic Fol Leymarie; Mick Grierson (EvoMUSART, 2021)

Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities. - Sebastian Berns; Terence Broad; Christian Guckelsberger; Simon Colton (ICCC, 2021)

Active Divergence with Generative Deep Learning - A Survey and Taxonomy. - Terence Broad; Sebastian Berns; Simon Colton; Mick Grierson (ICCC, 2021)

Network Bending: Expressive Manipulation of Generative Models in Multiple Domains. - Terence Broad; Frederic Fol Leymarie; Mick Grierson (Entropy, 2022)

Is computational creativity flourishing on the dead internet? - Terence Broad (ICCC, 2024)

XAIxArts Manifesto: Explainable AI for the Arts. - Nick Bryan-Kinns; Shuoyang Zheng; Francisco Castro 001; Makayla Lewis; Jia-Rey Chang; Gabriel Vigliensoni; Terence Broad; Michael Paul Clemens; Elizabeth Wilson (CHI Extended Abstracts, 2025)

XAIxArts Manifesto: Explainable AI for the Arts. - Nick Bryan-Kinns; Shuoyang Jasper Zheng; Francisco Castro 001; Makayla Lewis; Jia-Rey Chang; Gabriel Vigliensoni; Terence Broad; Michael Paul Clemens; Elizabeth Wilson (CoRR, 2025)