68 citations · 77 across the 6 of their papers we have counts for
6 papers
Customizing Sequence Generation with Multi-Task Dynamical Systems
Alex Bird, Christopher K. I. Williams
Dynamical system models (including RNNs) often lack the ability to adapt the sequence generation or prediction to a given context, limiting their real-world application. In this pa…
Multi-Task Time Series Analysis applied to Drug Response Modelling
Alex Bird, Christopher K. I. Williams, Christopher Hawthorne
Time series models such as dynamical systems are frequently fitted to a cohort of data, ignoring variation between individual entities such as patients. In this paper we show how t…
Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers
Adam McCarthy, Christopher K. I. Williams
Bedside monitors in Intensive Care Units (ICUs) frequently sound incorrectly, slowing response times and desensitising nurses to alarms (Chambrin, 2001), causing true alarms to be…
Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring
Konstantinos Georgatzis, Christopher K. I. Williams, Christopher Hawthorne
We present a non-linear dynamical system for modelling the effect of drug infusions on the vital signs of patients admitted in Intensive Care Units (ICUs). More specifically we are…
Renewal Strings for Cleaning Astronomical Databases
Amos J. Storkey, Nigel C. Hambly, Christopher K. I. Williams +1
Large astronomical databases obtained from sky surveys such as the SuperCOSMOS Sky Surveys (SSS) invariably suffer from a small number of spurious records coming from artefactual e…
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
Gaussian process (GP) predictors are an important component of many Bayesian approaches to machine learning. However, even a straightforward implementation of Gaussian process regr…