2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 2 cited
Towards Compositional Interpretability for XAI
Sean Tull, Robin Lorenz, Stephen Clark +2
Artificial intelligence (AI) is currently based largely on black-box machine learning models which lack interpretability. The field of eXplainable AI (XAI) strives to address this…
q-bio.NC2024
From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual Models
Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic +1
In this article we present a new modelling framework for structured concepts using a category-theoretic generalisation of conceptual spaces, and show how the conceptual representat…