activity
20162026
most citedParton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks

141 citations · 294 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CY2026

Postmortem avatars in grief therapy: Prospects, ethics, and governance

Joshua Hatherley, Sandrine R. Schiller, Iwan Williams +3

Postmortem avatars (PMAs) -- AI systems that simulate a deceased person by being fine-tuned on data they generated or that was generated about them -- have attracted growing schola…

cs.MA2025

Goal-Directedness is in the Eye of the Beholder

Nina Rajcic, Anders Søgaard

Our ability to predict the behavior of complex agents turns on the attribution of goals. Probing for goal-directed behavior comes in two flavors: Behavioral and mechanistic. The fo…

cs.CL2025

Mechanistic Interpretability Needs Philosophy

Iwan Williams, Ninell Oldenburg, Ruchira Dhar +6

Mechanistic interpretability (MI) aims to explain how neural networks work by uncovering their underlying mechanisms. As the field grows in influence, it is increasingly important…

cs.HC2024

Mimetic Poet

Jon McCormack, Elliott Wilson, Nina Rajcic +1

This paper presents the design and initial assessment of a novel device that uses generative AI to facilitate creative ideation, inspiration, and reflective thought. Inspired by ma…

cs.HC2024★ 36 cited

Towards A Diffractive Analysis of Prompt-Based Generative AI

Nina Rajcic, Maria Teresa Llano, Jon McCormack

Recent developments in prompt-based generative AI has given rise to discourse surrounding the perceived ethical concerns, economic implications, and consequences for the future of…

cs.HC2024★ 4 cited

No Longer Trending on Artstation: Prompt Analysis of Generative AI Art

Jon McCormack, Maria Teresa Llano, Stephen James Krol +1

Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diff…

cs.CY2023★ 2 cited

Is Writing Prompts Really Making Art?

Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic +3

In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D dat…

cs.HC2023★ 33 cited

Message Ritual: A Posthuman Account of Living with Lamp

Nina Rajcic, Jon McCormack

As we become increasingly entangled with digital technologies, the boundary between human and machine is progressively blurring. Adopting a performative, posthumanist perspective r…

cs.HC2020★ 68 cited

Mirror Ritual: An Affective Interface for Emotional Self-Reflection

Nina Rajcic, Jon McCormack

This paper introduces a new form of real-time affective interface that engages the user in a process of conceptualisation of their emotional state. Inspired by Barrett's Theory of…

cs.HC2020★ 10 cited

Mirror Ritual: Human-Machine Co-Construction of Emotion

Nina Rajcic, Jon McCormack

Mirror Ritual is an interactive installation that challenges the existing paradigms in our understanding of human emotion and machine perception. In contrast to prescriptive interf…

cs.MM2019

Camera Obscurer: Generative Art for Design Inspiration

Dilpreet Singh, Nina Rajcic, Simon Colton +1

We investigate using generated decorative art as a source of inspiration for design tasks. Using a visual similarity search for image retrieval, the \emph{Camera Obscurer} app enab…

hep-ph2016★ 141 cited

Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks

James Barnard, Edmund Noel Dawe, Matthew J. Dolan +1

Machine learning methods incorporating deep neural networks have been the subject of recent proposals for new hadronic resonance taggers. These methods require training on a datase…