2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
Formalising and Learning a Quantum Model of Concepts
Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic +1
In this report we present a new modelling framework for concepts based on quantum theory, and demonstrate how the conceptual representations can be learned automatically from data.…