39 citations · 48 across the 6 of their papers we have counts for
7 papers
Deep Neural Network Initialization with Sparsity Inducing Activations
Ilan Price, Nicholas Daultry Ball, Samuel C. H. Lam +2
Inducing and leveraging sparse activations during training and inference is a promising avenue for improving the computational efficiency of deep networks, which is increasingly im…
Improved Projection Learning for Lower Dimensional Feature Maps
Ilan Price, Jared Tanner
The requirement to repeatedly move large feature maps off- and on-chip during inference with convolutional neural networks (CNNs) imposes high costs in terms of both energy and tim…
Increasing the accuracy and resolution of precipitation forecasts using deep generative models
Ilan Price, Stephan Rasp
Accurately forecasting extreme rainfall is notoriously difficult, but is also ever more crucial for society as climate change increases the frequency of such extremes. Global numer…
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
Ilan Price, Jared Tanner
That neural networks may be pruned to high sparsities and retain high accuracy is well established. Recent research efforts focus on pruning immediately after initialization so as…
Six Attributes of Unhealthy Conversation
Ilan Price, Jordan Gifford-Moore, Jory Fleming +6
We present a new dataset of approximately 44000 comments labeled by crowdworkers. Each comment is labelled as either 'healthy' or 'unhealthy', in addition to binary labels for the…
Trajectory growth lower bounds for random sparse deep ReLU networks
Ilan Price, Jared Tanner
This paper considers the growth in the length of one-dimensional trajectories as they are passed through deep ReLU neural networks, which, among other things, is one measure of the…
Gaussian Processes for Demand Unconstraining
Ilan Price, Jaroslav Fowkes, Daniel Hopman
One of the key challenges in revenue management is unconstraining demand data. Existing state of the art single-class unconstraining methods make restrictive assumptions about the…