Matthew M. Graham

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Alexandros BeskosProfessor in Statistics, UCLVerified email at ucl.ac.uk
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Verified email at nus.edu.sg
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Asif U TamuriUniversity College London (UCL)Verified email at ucl.ac.uk
Tim ColbournProfessor of Global Health Systems, Epidemiology and Evaluation, UCL Institute for Global HealthVerified email at ucl.ac.uk
Andrew PhillipsUniversity College London (UCL)Verified email at ucl.ac.uk
Joseph H CollinsUniversity College LondonVerified email at ucl.ac.uk
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Iain MurraySchool of Informatics, University of Edinburgh and AmazonVerified email at ed.ac.uk
Au Khai XiangPhD student at National University of SingaporeVerified email at u.nus.edu
Yuga IguchiUniversity College LondonVerified email at ucl.ac.uk
Dennis PrangleUniversity of BristolVerified email at bristol.ac.uk
Valentina CambianoUniversity College LondonVerified email at ucl.ac.uk
Onur TeymurUniversity of KentVerified email at kent.ac.uk
T. J. SullivanUniversity of WarwickVerified email at warwick.ac.uk
Tim HallettImperial College LondonVerified email at imperial.ac.uk
Serge GuillasProfessor of Statistics, University College LondonVerified email at ucl.ac.uk
Tuomas KoskelaUniversity College LondonVerified email at ucl.ac.uk
Eva JanouškováUniversity College LondonVerified email at ucl.ac.uk
Daniel GilesUniversity College LondonVerified email at ucl.ac.uk

Matthew M. Graham

Research data scientist, University College London

Verified email at ucl.ac.uk - Homepage

Markov chain Monte Carlo Bayesian inference inverse problems data assimilation


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Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688, 2016	909	2016
Pseudo-marginal slice sampling I Murray, MM Graham Proceedings of the 19th International Conference on Artificial Intelligence …, 2016	40	2016
Continuously tempered Hamiltonian Monte Carlo MM Graham, AJ Storkey Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence, 2017	30	2017
Asymptotically exact inference in differentiable generative models M Graham, A Storkey Artificial Intelligence and Statistics, 499-508, 2017	30	2017
Asymptotically exact inference in differentiable generative models MM Graham, AJ Storkey Electronic Journal of Statistics 11 (2), 5105-5164, 2017	30	2017
Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models M Graham, A Thiery, A Beskos Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022	16*	2022
Measure transport with kernel Stein discrepancy MA Fisher, T Nolan, M Graham, D Prangle, C Oates International Conference on Artificial Intelligence and Statistics, 1054-1062, 2021	16	2021
Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime KX Au, MM Graham, AH Thiery Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023	10*	2023
Testing whether a learning procedure is calibrated J Cockayne, MM Graham, CJ Oates, TJ Sullivan, O Teymur Journal of Machine Learning Research 23 (203), 1-36, 2022	10	2022
Estimating the health burden of road traffic injuries in Malawi using an individual-based model R Manning Smith, V Cambiano, T Colbourn, JH Collins, M Graham, ... Injury epidemiology 9 (1), 21, 2022	6	2022
A scalable optimal-transport based local particle filter MM Graham, AH Thiery arXiv preprint arXiv:1906.00507, 2019	4	2019
Parameter estimation with increased precision for elliptic and hypo-elliptic diffusions Y Iguchi, A Beskos, MM Graham arXiv preprint arXiv:2211.16384, 2022	3	2022
Auxiliary variable Markov chain Monte Carlo methods MMK Graham The University of Edinburgh, 2018	3	2018
Numerical Schemes for Effective Calibration of Elliptic and Hypo-elliptic Diffusions Y Iguchi, A Beskos, MM Graham arXiv preprint arXiv:2211.16384, 2022	1	2022
ParticleDA. jl v. 1.0: a distributed particle-filtering data assimilation package D Giles, MM Graham, M Giordano, T Koskela, A Beskos, S Guillas Geoscientific Model Development 17 (6), 2427-2445, 2024		2024
Estimating the impact of maternity service delivery on health in Malawi: An individual-based modelling study J Collins, H Allott, W Ng'ambi, IL Lin, M Giordano, M Graham, ...		2024
Factors associated with medical consumable availability in Level 1 facilities in Malawi: secondary analysis of a facility census S Mohan, TD Mangal, T Colbourn, MJ Chalkley, C Chimwaza, JH Collins, ... The Lancet Global Health, 2024		2024
A Healthcare Service Delivery and Epidemiological Model for Investigating Resource Allocation for Health: The Thanzi La Onse Model TB Hallett, TD Mangal, AU Tamuri, N Arinaminpathy, V Cambiano, ... medRxiv, 2024.01. 04.24300834, 2024		2024
Modeling Contraception and Pregnancy in Malawi: A Thanzi La Onse Mathematical Modeling Study T Colbourn, E Janoušková, I Li Lin, J Collins, E Connolly, M Graham, ... Studies in family planning 54 (4), 585-607, 2023		2023
Parameter Inference for Degenerate Diffusion Processes Y Iguchi, A Beskos, M Graham arXiv preprint arXiv:2307.16485, 2023		2023

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