| 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 | 20 | 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 | 9 | 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 | 7 | 2022 |
| Statistical finite element methods for nonlinear PDEs C Duffin | 2 | 2022 |
| -DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering AJ Glyn-Davies, C Duffin, OD Akyildiz, M Girolami | 1 | 2022 |
| 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 |
| Φ-Dvae: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation A Glyn-Davies, C Duffin, OD Akyildiz, M Girolami Available at SSRN 4534377, 2022 | | 2022 |
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
