Mark Girolami
University of Cambridge
H-index: 74
Europe-United Kingdom
Top articles of Mark Girolami
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Inferring networks from time series: A neural approach | PNAS nexus | Thomas Gaskin Grigorios A Pavliotis Mark Girolami | 2024/4 |
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge | arXiv preprint arXiv:2403.17820 | Lawrence A Bull Chiho Jeon Mark Girolami Andrew Duncan Jennifer Schooling | 2024/3/26 |
On the performance of pothole detection algorithms enhanced via data augmentation | Transportation Research Procedia | Justin Bunker Georgios Hadjidemetriou Alix Marie d’Avigneau Mark Girolami | 2023/7/11 |
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis | Stat | Ioannis Zachos Theodoros Damoulas Mark Girolami | 2024 |
Near real-time social distance estimation in London | The Computer Journal | James Walsh Oluwafunmilola Kesa Andrew Wang Mihai Ilas Patrick O’Hara | 2024/1 |
Neural parameter calibration for large-scale multiagent models | Proceedings of the National Academy of Sciences | Thomas Gaskin Grigorios A Pavliotis Mark Girolami | 2023/2/14 |
Theoretical Guarantees for the Statistical Finite Element Method | arxiv preprint arXiv:2111.07691 | Y Papandreou J Cockayne M Girolami AB Duncan | 2021/11/16 |
Fully probabilistic deep models for forward and inverse problems in parametric PDEs | Journal of Computational Physics | Arnaud Vadeboncoeur Ömer Deniz Akyildiz Ieva Kazlauskaite Mark Girolami Fehmi Cirak | 2023/10/15 |
Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning | Andrea Marinoni Marine Mercier Qian Shi Sivasakthy Selvakumaran Mark Girolami | 2023/6/4 | |
Bayesian learning via neural Schrödinger–Föllmer flows | Statistics and Computing | Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D Lawrence | 2023/2 |
The Bayesian approach to inverse Robin problems | arXiv preprint arXiv:2311.17542 | Aksel Kaastrup Rasmussen Fanny Seizilles Mark Girolami Ieva Kazlauskaite | 2023/11/29 |
Tweedie moment projected diffusions for inverse problems | arXiv preprint arXiv:2310.06721 | Benjamin Boys Mark Girolami Jakiw Pidstrigach Sebastian Reich Alan Mosca | 2023/10/10 |
Encoding domain expertise into multilevel models for source location | arXiv preprint arXiv:2305.08657 | Lawrence A Bull Matthew R Jones Elizabeth J Cross Andrew Duncan Mark Girolami | 2023/5/15 |
Data-Centric Monitoring of Wind Farms: Combining Sources of Information | Lawrence A Bull Imad Abdallah Charilaos Mylonas Luis David Avendaño-Valencia Konstantinos Tatsis | 2023/1/1 | |
Improving embedding of graphs with missing data by soft manifolds | arXiv preprint arXiv:2311.17598 | Andrea Marinoni Pietro Lio Alessandro Barp Christian Jutten Mark Girolami | 2023/11/29 |
Warped geometric information on the optimisation of Euclidean functions | arXiv preprint arXiv:2308.08305 | Marcelo Hartmann Bernardo Williams Hanlin Yu Mark Girolami Alessandro Barp | 2023/8/16 |
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning | Computer‐Aided Civil and Infrastructure Engineering | Lawrence A Bull Domenic Di Francesco M Dhada Olof Steinert Tony Lindgren | 2023/5 |
Riemannian Laplace Approximation with the Fisher Metric | arXiv preprint arXiv:2311.02766 | Hanlin Yu Marcelo Hartmann Bernardo Williams Mark Girolami Arto Klami | 2023/11/5 |
Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations | arXiv preprint arXiv:2307.05334 | Connor Duffin Paul Branson Matt Rayson Mark Girolami Edward Cripps | 2023/7/11 |
Interacting particle langevin algorithm for maximum marginal likelihood estimation | arXiv preprint arXiv:2303.13429 | Ö Deniz Akyildiz Francesca Romana Crucinio Mark Girolami Tim Johnston Sotirios Sabanis | 2023/3/23 |
Co-Authors
