11 citations · 32 across the 7 of their papers we have counts for
9 papers
Still searching for an (un)stable equilibrium: visualising the process of training generative neural networks without data
Terence Broad
(un)stable equilibrium is an ongoing series of works that is based on a practice of training generative neural networks without data. This paper introduces the second series of (un…
XAIxArts Manifesto: Explainable AI for the Arts
Nick Bryan-Kinns, Shuoyang Jasper Zheng, Francisco Castro +6
Explainable AI (XAI) is concerned with how to make AI models more understandable to people. To date these explanations have predominantly been technocentric - mechanistic or produc…
Is computational creativity flourishing on the dead internet?
Terence Broad
The dead internet theory is a conspiracy theory that states that all interactions and posts on social media are no longer being made by real people, but rather by autonomous bots.…
Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Terence Broad, Sebastian Berns, Simon Colton +1
Generative deep learning systems offer powerful tools for artefact generation, given their ability to model distributions of data and generate high-fidelity results. In the context…
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
Sebastian Berns, Terence Broad, Christian Guckelsberger +1
We present a framework for automating generative deep learning with a specific focus on artistic applications. The framework provides opportunities to hand over creative responsibi…
Network Bending: Expressive Manipulation of Deep Generative Models
Terence Broad, Frederic Fol Leymarie, Mick Grierson
We introduce a new framework for manipulating and interacting with deep generative models that we call network bending. We present a comprehensive set of deterministic transformati…