Aonghus Lawlor

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems

Khalil Muhammad, Qinqin Wang, Diarmuid O’Reilly-Morgan et al. · 2020 · 208 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23

Phase equilibria and glass transition in colloidal systems with short-ranged attractive interactions: Application to protein crystallization

Giuseppe Foffi, Gavin D. McCullagh, Aonghus Lawlor et al. · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2002 · 186 citations · Full text

Phase Diagrams, Colloidal Material, Engineering +19

Automatic Generation of Natural Language Explanations

Felipe Costa, Sixun Ouyang, Peter Dolog et al. · 2018 · 92 citations · Full text

Engineering, Structured Sentences, User Reviews +21

Tricritical Point in Heterogeneous<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>k</mml:mi></mml:math>-Core Percolation

Davide Cellai, Aonghus Lawlor, Kenneth A. Dawson et al. · Physical Review Letters · 2011 · 63 citations · Full text

Universality in Lattice Models of Dynamic Arrest: Introduction of an Order Parameter

Aonghus Lawlor, Dan Reagan, Gavin D. McCullagh et al. · Physical Review Letters · 2002 · 52 citations

Lattice Models, Critical Phenomenon, Engineering +15