Predicting the Computational Cost of Deep Learning Models. - Daniel Justus; John Brennan; Stephen Bonner; Andrew Stephen McGough (IEEE BigData, 2018)

GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures. - Ivan Chelombiev; Daniel Justus; Douglas Orr; Anastasia Dietrich; Frithjof Gressmann; Alexandros Koliousis; Carlo Luschi (CoRR, 2021)

Towards Structured Dynamic Sparse Pre-Training of BERT. - Anastasia Dietrich; Frithjof Gressmann; Douglas Orr; Ivan Chelombiev; Daniel Justus; Carlo Luschi (CoRR, 2021)

8-bit Numerical Formats for Deep Neural Networks. - Badreddine Noune; Philip Jones; Daniel Justus; Dominic Masters; Carlo Luschi (CoRR, 2022)

BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion. - Alberto Cattaneo; Daniel Justus; Harry Mellor; Douglas Orr; Jérôme Maloberti; Zhenying Liu; Thorin Farnsworth; Andrew W. Fitzgibbon; Blazej Banaszewski; Carlo Luschi (CoRR, 2022)

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models. - Alberto Cattaneo; Stephen Bonner; Thomas Martynec; Carlo Luschi; Ian P. Barrett; Daniel Justus (CoRR, 2024)