Segui
Ciarán M. Gilligan-Lee
Ciarán M. Gilligan-Lee
Head of Causal Inference Lab, Spotify, & Honorary Associate Professor, UCL
Email verificata su ucl.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
Improving the accuracy of medical diagnosis with causal machine learning
JG Richens, CM Lee, S Johri
Nature communications 11 (1), 3923, 2020
5462020
Quantum common causes and quantum causal models
JMA Allen, J Barrett, DC Horsman, CM Lee, RW Spekkens
Physical Review X 7 (3), 031021, 2017
2732017
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
1172022
Generalised phase kick-back: the structure of computational algorithms from physical principles
CM Lee, JH Selby
New Journal of Physics 18 (3), 033023, 2016
662016
Computation in generalised probabilisitic theories
CM Lee, J Barrett
New Journal of Physics 17 (8), 083001, 2015
642015
Towards device-independent information processing on general quantum networks
CM Lee, MJ Hoban
Physical review letters 120 (2), 020504, 2018
622018
Higher-order interference in extensions of quantum theory
CM Lee, JH Selby
Foundations of Physics 47, 89-112, 2017
612017
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
48*2017
Deriving Grover's lower bound from simple physical principles
CM Lee, JH Selby
New Journal of Physics 18 (9), 093047, 2016
462016
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
432018
Ruling out higher-order interference from purity principles
H Barnum, CM Lee, CM Scandolo, JH Selby
Entropy 19 (6), 253, 2017
432017
The computational landscape of general physical theories
J Barrett, N de Beaudrap, MJ Hoban, CM Lee
npj Quantum Information 5 (1), 41, 2019
352019
Oracles and query lower bounds in generalised probabilistic theories
H Barnum, CM Lee, JH Selby
Foundations of physics 48, 954-981, 2018
30*2018
Estimating categorical counterfactuals via deep twin networks
A Vlontzos, B Kainz, CM Gilligan-Lee
Nature Machine Intelligence, 1-10, 2023
29*2023
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
262020
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
252022
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
23*2016
Integrating overlapping datasets using bivariate causal discovery
A Dhir, CM Lee
Association for the Advancement of Artificial Intelligence, AAAI, 2020
202020
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 35 (4), 4938-4947, 2022
14*2022
Device-independent certification of non-classical joint measurements via causal models
CM Lee
npj Quantum Information 5 (1), 34, 2019
12*2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20