Jack Fitzsimons

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	All	Since 2019
Citations	314	270
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Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Zhikuan ZhaoHorizon Quantum ComputingVerified email at horizonquantum.com
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Joseph FitzsimonsHorizon Quantum ComputingVerified email at horizonquantum.com
Maurizio FilipponeAssociate Professor - Statistics Program, KAUSTVerified email at kaust.edu.sa
Kurt CutajarAmazonVerified email at amazon.com
Patrick RebentrostCQTVerified email at nus.edu.sg
Vedran DunjkoLeiden UniversityVerified email at liacs.leidenuniv.nl
Robert PisarczykUniversity of OxfordVerified email at maths.ox.ac.uk
Diego GranziolDphil student, Oxford UniversityVerified email at robots.ox.ac.uk
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Atul MantriVirginia TechVerified email at vt.edu
Kenneth Dawson-HoweProfessor of Computer Science, Trinity College, University of DublinVerified email at cs.tcd.ie
Sebastian M SchmonSenior Staff AI/ML at Altos LabsVerified email at stats.ox.ac.uk
Dmitrii UsyninImperial College London, TU MunichVerified email at ic.ac.uk

Jack Fitzsimons

DPhil (PhD) from University of Oxford

Verified email at robots.ox.ac.uk - Homepage

Machine Learning


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Quantum assisted Gaussian process regression Z Zhao, JK Fitzsimons, JF Fitzsimons Physical Review A, 2019	128	2019
A general framework for fair regression J Fitzsimons, AR Al Ali, M Osborne, S Roberts Entropy 21 (8), 741, 2019	43*	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	31*	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
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	20	2020
Quantum algorithms for training Gaussian Processes Z Zhao, JK Fitzsimons, MA Osborne, SJ Roberts, JF Fitzsimons Physical Review A, 2019	19	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	18	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
Private Means and the Curious Incident of the Free Lunch J Fitzsimons, J Honaker, M Shoemate, V Singhal arXiv preprint arXiv:2408.10438, 2024		2024
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

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