| Improving the accuracy of medical diagnosis with causal machine learning JG Richens, CM Lee, S Johri Nature communications 11 (1), 3923, 2020 | 769 | 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 | 325 | 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 | 215 | 2022 |
| Towards device-independent information processing on general quantum networks CM Lee, MJ Hoban Physical review letters 120 (2), 020504, 2018 | 74 | 2018 |
| Generalised phase kick-back: the structure of computational algorithms from physical principles CM Lee, JH Selby New Journal of Physics 18 (3), 033023, 2016 | 73 | 2016 |
| Computation in generalised probabilisitic theories CM Lee, J Barrett New Journal of Physics 17 (8), 083001, 2015 | 72 | 2015 |
| Higher-order interference in extensions of quantum theory CM Lee, JH Selby Foundations of Physics 47 (1), 89-112, 2017 | 66 | 2017 |
| 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 | 52* | 2017 |
| Estimating categorical counterfactuals via deep twin networks A Vlontzos, B Kainz, CM Gilligan-Lee Nature Machine Intelligence, 1-10, 2023 | 51* | 2023 |
| Deriving Grover's lower bound from simple physical principles CM Lee, JH Selby New Journal of Physics 18 (9), 093047, 2016 | 50 | 2016 |
| 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 | 48 | 2018 |
| Ruling out higher-order interference from purity principles H Barnum, CM Lee, CM Scandolo, JH Selby Entropy 19 (6), 253, 2017 | 48 | 2017 |
| 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 | 43 | 2022 |
| The computational landscape of general physical theories J Barrett, N de Beaudrap, MJ Hoban, CM Lee npj Quantum Information 5 (1), 41, 2019 | 37 | 2019 |
| Oracles and query lower bounds in generalised probabilistic theories H Barnum, CM Lee, JH Selby Foundations of physics 48 (8), 954-981, 2018 | 33* | 2018 |
| 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 | 29 | 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 | 24* | 2016 |
| Integrating overlapping datasets using bivariate causal discovery A Dhir, CM Lee Association for the Advancement of Artificial Intelligence, AAAI, 2020 | 23 | 2020 |
| 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 | 22* | 2022 |
| Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders O Jeunen, CM Gilligan-Lee, R Mehrotra, M Lalmas Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022 | 17 | 2022 |
Jonathan RichensDeepMindVerified email at google.com
