5 citations · 11 across the 9 of their papers we have counts for
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physics.comp-ph2022★ 1 cited
Learning Feynman Diagrams using Graph Neural Networks
Harrison Mitchell, Alexander Norcliffe, Pietro Liò
In the wake of the growing popularity of machine learning in particle physics, this work finds a new application of geometric deep learning on Feynman diagrams to make accurate and…
cs.LG2022★ 2 cited
Composite Feature Selection using Deep Ensembles
Fergus Imrie, Alexander Norcliffe, Pietro Lio +1
In many real world problems, features do not act alone but in combination with each other. For example, in genomics, diseases might not be caused by any single mutation but require…