117 citations · 323 across the 20 of their papers we have counts for
20 papers
Identifying the Units of Measurement in Tabular Data
Taha Ceritli, Christopher K. I. Williams
We consider the problem of identifying the units of measurement in a data column that contains both numeric values and unit symbols in each row, e.g., "5.2 l", "7 pints". In this c…
On Memorization in Probabilistic Deep Generative Models
Gerrit J. J. van den Burg, Christopher K. I. Williams
Recent advances in deep generative models have led to impressive results in a variety of application domains. Motivated by the possibility that deep learning models might memorize…
Inference for Generative Capsule Models
Alfredo Nazabal, Nikolaos Tsagkas, Christopher K. I. Williams
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge and reason about the relationship between an object and its parts. In this paper we specify a \emph{generati…
The Effect of Class Imbalance on Precision-Recall Curves
Christopher K I Williams
In this note I study how the precision of a classifier depends on the ratio of positive to negative cases in the test set, as well as the classifier's true and false positive r…
VAEs in the Presence of Missing Data
Mark Collier, Alfredo Nazabal, Christopher K. I. Williams
Real world datasets often contain entries with missing elements e.g. in a medical dataset, a patient is unlikely to have taken all possible diagnostic tests. Variational Autoencode…
Data Engineering for Data Analytics: A Classification of the Issues, and Case Studies
Alfredo Nazabal, Christopher K. I. Williams, Giovanni Colavizza +2
Consider the situation where a data analyst wishes to carry out an analysis on a given dataset. It is widely recognized that most of the analyst's time will be taken up with \emph{…