31 results on '"Girolami, Mark"'
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2. Φ-DVAE: Physics-informed dynamical variational autoencoders for unstructured data assimilation
3. Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification
4. On the performance of pothole detection algorithms enhanced via data augmentation
5. Fully probabilistic deep models for forward and inverse problems in parametric PDEs
6. A probabilistic model for quantifying uncertainty in the failure assessment diagram
7. Low-rank statistical finite elements for scalable model-data synthesis
8. Variational Bayesian approximation of inverse problems using sparse precision matrices
9. Broad learning robust semi-active structural control: A nonparametric approach
10. Anomaly detection in streaming data with gaussian process based stochastic differential equations
11. Uncertainty quantification for data-driven turbulence modelling with Mondrian forests
12. The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions
13. Embedded ridge approximations
14. Posterior inference for sparse hierarchical non-stationary models
15. Using Expert Knowledge to Generate Data for Broadband Line Prognostics Under Limited Failure Data Availability
16. The synthesis of data from instrumented structures and physics-based models via Gaussian processes
17. Geometric MCMC for infinite-dimensional inverse problems
18. A Bayesian approach to multiscale inverse problems with on-the-fly scale determination
19. Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems
20. A mixture modeling approach for clustering log files with coreset and user feedback
21. ITFoM – The IT Future of Medicine
22. Estimating Bayes factors via thermodynamic integration and population MCMC
23. Bayesian inference for differential equations
24. Analysis of complex, multidimensional datasets
25. The role of statistics in data-centric engineering
26. Pattern recognition with a Bayesian kernel combination machine
27. Classifying EEG for brain computer interfaces using Gaussian processes
28. Employing Latent Dirichlet Allocation for fraud detection in telecommunications
29. Novelty detection employing an L2 optimal non-parametric density estimator
30. Higher Order Cumulant Maximisation using Non-linear Hebbian and Anti-Hebbian Learning for Adaptive Blind Separation of Source Signals
31. An Unsupervised Artificial Neural Network Approach to Adaptive Noise Cancellation Applied to On-line Tool Condition Monitoring
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