189 citations · 202 across the 18 of their papers we have counts for
3 papers · 1 filter
Estimating Categorical Counterfactuals via Deep Twin Networks
Athanasios Vlontzos, Bernhard Kainz, Ciaran M. Gilligan-Lee
Counterfactual inference is a powerful tool, capable of solving challenging problems in high-profile sectors. To perform counterfactual inference, one requires knowledge of the und…
Computation in a general physical setting
Ciarán M. Gilligan-Lee
The computational abilities of theories within the generalised probabilistic theory framework has been the subject of much recent study. Such investigations aim to gain an understa…
Technology Readiness Levels for Machine Learning Systems
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12
The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…