1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
A deep language model to predict metabolic network equilibria
François Charton, Amaury Hayat, Sean T. McQuade +2
We show that deep learning models, and especially architectures like the Transformer, originally intended for natural language, can be trained on randomly generated datasets to pre…
math.DS2016
Interaction Network, State Space and Control in Social Dynamics
Aylin Aydogdu, Marco Caponigro, Sean McQuade +4
In the present chapter we study the emergence of global patterns in large groups in first and second-order multi-agent systems, focusing on two ingredients that influence the dynam…