Ciarán M. Gilligan-Lee
Ciarán M. Gilligan-Lee
Head of Causal Inference Lab, Spotify, & Honorary Associate Professor, UCL
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Zitiert von
Zitiert von
Improving the accuracy of medical diagnosis with causal machine learning
JG Richens, CM Lee, S Johri
Nature communications 11 (1), 3923, 2020
Quantum common causes and quantum causal models
JMA Allen, J Barrett, DC Horsman, CM Lee, RW Spekkens
Physical Review X 7 (3), 031021, 2017
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
Nature Communications 13 (1), 6039, 2022
Generalised phase kick-back: the structure of computational algorithms from physical principles
CM Lee, JH Selby
New Journal of Physics 18 (3), 033023, 2016
Higher-order interference in extensions of quantum theory
CM Lee, JH Selby
Foundations of Physics 47, 89-112, 2017
Computation in generalised probabilisitic theories
CM Lee, J Barrett
New Journal of Physics 17 (8), 083001, 2015
Towards device-independent information processing on general quantum networks
CM Lee, MJ Hoban
Physical review letters 120 (2), 020504, 2018
Deriving Grover's lower bound from simple physical principles
CM Lee, JH Selby
New Journal of Physics 18 (9), 093047, 2016
Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables
CM Lee, RW Spekkens
Journal of Causal Inference 5 (2), 2017
A no-go theorem for theories that decohere to quantum mechanics
CM Lee, JH Selby
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
Ruling out higher-order interference from purity principles
H Barnum, CM Lee, CM Scandolo, JH Selby
Entropy 19 (6), 253, 2017
Oracles and query lower bounds in generalised probabilistic theories
H Barnum, CM Lee, JH Selby
Foundations of physics 48, 954-981, 2018
The computational landscape of general physical theories
J Barrett, N de Beaudrap, MJ Hoban, CM Lee
npj Quantum Information 5 (1), 41, 2019
Multiverse: Causal reasoning using importance sampling in probabilistic programming
Y Perov, L Graham, K Gourgoulias, JG Richens, CM Lee, A Baker, S Johri
Proceedings of Machine Learning Research, PMLR 118:1-36, 2020
Bounds on the power of proofs and advice in general physical theories
CM Lee, MJ Hoban
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2016
Integrating overlapping datasets using bivariate causal discovery
A Dhir, CM Lee
Association for the Advancement of Artificial Intelligence, AAAI, 2020
Estimating categorical counterfactuals via deep twin networks
A Vlontzos, B Kainz, CM Gilligan-Lee
Nature Machine Intelligence, 1-10, 2023
Device-independent certification of non-classical joint measurements via causal models
CM Lee
npj Quantum Information 5 (1), 34, 2019
Leveraging directed causal discovery to detect latent common causes in cause-effect pairs
CM Gilligan-Lee, C Hart, J Richens, S Johri
IEEE Transactions on Neural Networks and Learning Systems, 2022
D'ARTAGNAN: Counterfactual Video Generation
H Reynaud, A Vlontzos, M Dombrowski, C Lee, A Beqiri, P Leeson, ...
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022
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