38 results on '"Girolami, Mark"'
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2. Fully probabilistic deep models for forward and inverse problems in parametric PDEs
3. Φ-Dvae: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation
4. A probabilistic model for quantifying uncertainty in the failure assessment diagram
5. Low-rank statistical finite elements for scalable model-data synthesis
6. Variational Bayesian approximation of inverse problems using sparse precision matrices
7. A Mixture Modeling Approach for Clustering Log Files with Coreset and User Feedback
8. Anomaly detection in streaming data with gaussian process based stochastic differential equations
9. Broad learning robust semi-active structural control: A nonparametric approach
10. Multi-fidelity approach to Bayesian parameter estimation in subsurface heat and fluid transport models
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. Building Information Modelling, Artificial Intelligence and Construction Tech
15. Multi-fidelity approach to Bayesian parameter estimation in subsurface heat and fluid transport models
16. Posterior inference for sparse hierarchical non-stationary models
17. Using Expert Knowledge to Generate Data for Broadband Line Prognostics Under Limited Failure Data Availability
18. The synthesis of data from instrumented structures and physics-based models via Gaussian processes
19. The role of statistics in data-centric engineering
20. Geometric MCMC for infinite-dimensional inverse problems
21. A Bayesian approach to multiscale inverse problems with on-the-fly scale determination
22. Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction
23. Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems
24. Decoding post-stroke motor function from structural brain imaging
25. ITFoM – The IT Future of Medicine
26. Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease
27. Combining feature spaces for classification
28. Estimating Bayes factors via thermodynamic integration and population MCMC
29. Pattern recognition with a Bayesian kernel combination machine
30. Bayesian inference for differential equations
31. Classifying EEG for brain computer interfaces using Gaussian processes
32. Employing Latent Dirichlet Allocation for fraud detection in telecommunications
33. Analysis of complex, multidimensional datasets
34. Novelty detection employing an L 2 optimal non-parametric density estimator
35. Employing optimized combinations of one-class classifiers for automated currency validation
36. Latent variable models for the topographic organisation of discrete and strictly positive data
37. A nonlinear model of the binaural cocktail party effect
38. An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem
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