4 citations · 4 across the 2 of their papers we have counts for
3 papers
Regularising Deep Networks with Deep Generative Models
Matthew Willetts, Alexander Camuto, Stephen Roberts +1
We develop a new method for regularising neural networks. We learn a probability distribution over the activations of all layers of the model and then insert imputed values into th…
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders
Matthew Willetts, Stephen Roberts, Chris Holmes
In clustering we normally output one cluster variable for each datapoint. However it is not necessarily the case that there is only one way to partition a given dataset into cluste…
Encrypted accelerated least squares regression
Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes
Information that is stored in an encrypted format is, by definition, usually not amenable to statistical analysis or machine learning methods. In this paper we present detailed ana…