38 citations · 71 across the 8 of their papers we have counts for
8 papers
Modeling and Forecasting Art Movements with CGANs
Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi +2
Conditional Generative Adversarial Networks~(CGAN) are a recent and popular method for generating samples from a probability distribution conditioned on latent information. The lat…
A streaming feature-based compression method for data from instrumented infrastructure
Alastair Gregory, Din-Houn Lau, Alex Tessier +1
An increasing amount of civil engineering applications are utilising data acquired from infrastructure instrumented with sensing devices. This data has an important role in monitor…
The synthesis of data from instrumented structures and physics-based models via Gaussian processes
Alastair Gregory, Din-Houn Lau, Mark Girolami +2
A recent development which is poised to disrupt current structural engineering practice is the use of data obtained from physical structures such as bridges, viaducts and buildings…
A Quantile-Based Approach to Modelling Recovery Time in Structural Health Monitoring
Alastair Gregory, F. Din-Houn Lau, Liam Butler
Statistical techniques play a large role in the structural health monitoring of instrumented infrastructure, such as a railway bridge constructed with an integrated network of fibr…
The chopthin algorithm for resampling
Axel Gandy, F. Din-Houn Lau
Resampling is a standard step in particle filters and more generally sequential Monte Carlo methods. We present an algorithm, called chopthin, for resampling weighted particles. In…
RMCMC: A System for Updating Bayesian Models
F. Din-Houn Lau, Axel Gandy
A system to update estimates from a sequence of probability distributions is presented. The aim of the system is to quickly produce estimates with a user-specified bound on the Mon…
Optimality of Non-Restarting CUSUM charts
F. Din-Houn Lau, Axel Gandy
We show optimality, in a well-defined sense, using cumulative sum (CUSUM) charts for detecting changes in distributions. We consider a setting with multiple changes between two kno…
Non-Restarting CUSUM charts and Control of the False Discovery Rate
Axel Gandy, F. Din-Houn Lau
Cumulative sum (CUSUM) charts are typically used to detect changes in a stream of observations e.g. shifts in the mean. Usually, after signalling, the chart is restarted by setting…