McGough, Andrew Stephen
- Predicting the Computational Cost of Deep Learning Models
2018/11/28 by Daniel Justus, John Brennan, Justus, Daniel +5 · 6 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Parallel Computing and Optimization Techniques
- Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal\n Graphs via Recurrent Variational Graph Convolutions
2019/08/21 by Stephen Bonner, Amir Atapour–Abarghouei, Bonner, Stephen +13 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Epigenetics and DNA Methylation #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
- Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?
2021/11/24 by Curry, Ryan, Trotter, Cameron, McGough, Andrew Stephen · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Long-term Reproducibility for Neural Architecture Search
2022/07/11 by Towers, David, Forshaw, Matthew, Atapour-Abarghouei, Amir +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics
2022/04/20 by Rob Geada, Geada, Rob, A. Stephen McGough +1 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)