Jack Fitzsimons
Jack Fitzsimons
DPhil (PhD) from University of Oxford
Verified email at - Homepage
Cited by
Cited by
Quantum assisted Gaussian process regression
Z Zhao, JK Fitzsimons, JF Fitzsimons
Physical Review A, 2019
A general framework for fair regression
J Fitzsimons, AR Al Ali, M Osborne, S Roberts
Entropy 21 (8), 741, 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
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
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
Quantum algorithms for training Gaussian Processes
Z Zhao, JK Fitzsimons, MA Osborne, SJ Roberts, JF Fitzsimons
Physical Review A, 2019
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
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
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
Abandoned, removed and moved object classification
J Fitzsimons, K Dawson-Howe
International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016
Kernel Methods: Generalisations, Scalability and Towards the Future of Machine Learning
J Fitzsimons
Ph. D. dissertation, University of Oxford, 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
Identifying Abandoned, Moved and Removed Objects in Automated Surveillance Systems
JK Fitzsimons
Trinity College Dublin, 2014
Implicit Priors for Knowledge Sharing in Bayesian Neural Networks
JK Fitzsimons, SM Schmon, SJ Roberts
arXiv preprint arXiv:1912.00874, 2019
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