13 citations · 14 across the 3 of their papers we have counts for
3 papers
Insights from the Use of Previously Unseen Neural Architecture Search Datasets
Rob Geada, David Towers, Matthew Forshaw +2
The boundless possibility of neural networks which can be used to solve a problem -- each with different performance -- leads to a situation where a Deep Learning expert is require…
Predicting the Performance of a Computing System with Deep Networks
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei +1
Predicting the performance and energy consumption of computing hardware is critical for many modern applications. This will inform procurement decisions, deployment decisions, and…
Long-term Reproducibility for Neural Architecture Search
David Towers, Matthew Forshaw, Amir Atapour-Abarghouei +1
It is a sad reflection of modern academia that code is often ignored after publication -- there is no academic 'kudos' for bug fixes / maintenance. Code is often unavailable or, if…