‪Connor Duffin‬ - ‪Google Scholar‬

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Co-authors

Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Edward CrippsAssociate Professor Statistics, University of Western AustraliaVerified email at uwa.edu.au
Thomas StemlerUniversity of Western AustraliaVerified email at uwa.edu.au
O. Deniz AkyildizImperial College LondonVerified email at imperial.ac.uk
Alex Glyn-DaviesUniversity of CambridgeVerified email at cam.ac.uk

Connor Duffin

Connor Duffin

University of Cambridge

Verified email at cam.ac.uk - Homepage

bayesian inverse problems uncertainty quantification


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Statistical finite elements for misspecified models C Duffin, E Cripps, T Stemler, M Girolami Proceedings of the National Academy of Sciences 118 (2), e2015006118, 2021	22	2021
Statistical finite elements via Langevin dynamics ÖD Akyildiz, C Duffin, S Sabanis, M Girolami SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1560-1585, 2022	10	2022
Low-rank statistical finite elements for scalable model-data synthesis C Duffin, E Cripps, T Stemler, M Girolami Journal of Computational Physics 463, 111261, 2022	9	2022
Statistical finite element methods for nonlinear PDEs C Duffin	2	2022
Φ-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation A Glyn-Davies, C Duffin, OD Akyildiz, M Girolami Journal of Computational Physics, 113293, 2024	1*	2024
Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations C Duffin, P Branson, M Rayson, M Girolami, E Cripps, T Stemler arXiv preprint arXiv:2307.05334, 2023		2023

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