1 citations · 2 across the 8 of their papers we have counts for
3 papers · 1 filter
Characterising the dynamics of unlabelled temporal networks
Annalisa Caligiuri, Tobias Galla, Lucas Lacasa
Networks model the architecture backbone of complex systems. The backbone itself can change over time leading to what is called `temporal networks'. Interpreting temporal networks…
Scalar embedding of temporal network trajectories
Lucas Lacasa, F. Javier Marín-Rodríguez, Naoki Masuda +1
A temporal network -- a collection of snapshots recording the evolution of a network whose links appear and disappear dynamically -- can be interpreted as a trajectory in graph spa…
An effective theory of collective deep learning
Lluís Arola-Fernández, Lucas Lacasa
Unraveling the emergence of collective learning in systems of coupled artificial neural networks points to broader implications for machine learning, neuroscience, and society. Her…