13 citations · 25 across the 23 of their papers we have counts for
3 papers · 2 filters
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data
Atif Khan, Conor Lawless, Amy E Vincent +3
Mitochondrial diseases are currently untreatable due to our limited understanding of their pathology. We study the expression of various mitochondrial proteins in skeletal myofibre…
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…
SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics
Rob Geada, Andrew Stephen McGough
Neural Architecture Search (NAS) algorithms are intended to remove the burden of manual neural network design, and have shown to be capable of designing excellent models for a vari…