Computation in generalised probabilistic theories. - Ciarán M. Lee; Jonathan Barrett (CoRR, 2014)

The Information Content of Systems in General Physical Theories. - Ciarán M. Lee; Matty J. Hoban (PC, 2016)

The computational landscape of general physical theories. - Jonathan Barrett; Niel de Beaudrap; Matty J. Hoban; Ciarán M. Lee (CoRR, 2017)

Ruling out Higher-Order Interference from Purity Principles. - Howard Barnum; Ciarán M. Lee; Carlo Maria Scandolo; John H. Selby (Entropy, 2017)

Bounds on computation from physical principles. - Ciarán M. Lee (2017)

MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. - Yura Perov; Logan Graham; Kostis Gourgoulias; Jonathan G. Richens; Ciarán M. Lee; Adam Baker; Saurabh Johri (AABI, 2019)

Counterfactual diagnosis. - Jonathan G. Richens; Ciarán M. Lee; Saurabh Johri (CoRR, 2019)

Leveraging directed causal discovery to detect latent common causes. - Ciarán M. Lee; Christopher Hart; Jonathan G. Richens; Saurabh Johri (CoRR, 2019)

Integrating Overlapping Datasets Using Bivariate Causal Discovery. - Anish Dhir; Ciarán M. Lee (AAAI, 2020)

Compositional resource theories of coherence. - John H. Selby; Ciarán M. Lee (Quantum, 2020)