| Quantum assisted Gaussian process regression Z Zhao, JK Fitzsimons, JF Fitzsimons Physical Review A, 2019 | 116 | 2019 |
| A general framework for fair regression J Fitzsimons, AR Al Ali, M Osborne, S Roberts Entropy 21 (8), 741, 2019 | 41* | 2019 |
| Smooth input preparation for quantum and quantum-inspired machine learning Z Zhao, JK Fitzsimons, P Rebentrost, V Dunjko, JF Fitzsimons Quantum Machine Intelligence 3 (1), 14, 2021 | 28* | 2021 |
| Entropic trace estimates for log determinants J Fitzsimons, D Granziol, K Cutajar, M Osborne, M Filippone, S Roberts Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 26 | 2017 |
| Quantum algorithms for training Gaussian Processes Z Zhao, JK Fitzsimons, MA Osborne, SJ Roberts, JF Fitzsimons Physical Review A, 2019 | 20 | 2019 |
| A note on blind contact tracing at scale with applications to the COVID-19 pandemic JK Fitzsimons, A Mantri, R Pisarczyk, T Rainforth, Z Zhao Proceedings of the 15th International Conference on Availability …, 2020 | 19 | 2020 |
| Improved stochastic trace estimation using mutually unbiased bases JK Fitzsimons, MA Osborne, SJ Roberts, JF Fitzsimons Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence …, 2016 | 19 | 2016 |
| Bayesian inference of log determinants J Fitzsimons, K Cutajar, M Osborne, S Roberts, M Filippone Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence …, 2017 | 17 | 2017 |
| Intersectionality: Multiple Group Fairness in Expectation Constraints J Fitzsimons, M Osborne, S Roberts Workshop on Ethical, Social and Governance Issues in AI at 32nd Conference …, 2018 | 6 | 2018 |
| Abandoned, removed and moved object classification J Fitzsimons, K Dawson-Howe International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016 | 3 | 2016 |
| Kernel Methods: Generalisations, Scalability and Towards the Future of Machine Learning J Fitzsimons Ph. D. dissertation, University of Oxford, 2019 | 1 | 2019 |
| Markov random fields for static foreground classification in surveillance systems JK Fitzsimons, TT Lu Applications of Digital Image Processing XXXVII 9217, 436-445, 2014 | 1 | 2014 |
| Identifying Abandoned, Moved and Removed Objects in Automated Surveillance Systems JK Fitzsimons Trinity College Dublin, 2014 | 1 | 2014 |
| Naturally Private Recommendations with Determinantal Point Processes J Fitzsimons, AF Pasqualini, R Pisarczyk, D Usynin arXiv preprint arXiv:2405.13677, 2024 | | 2024 |
| Implicit Priors for Knowledge Sharing in Bayesian Neural Networks JK Fitzsimons, SM Schmon, SJ Roberts arXiv preprint arXiv:1912.00874, 2019 | | 2019 |
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
