271 citations · 597 across the 16 of their papers we have counts for
3 papers · 1 filter
An Analytical Theory of Auxiliary Learning
Federico Milanesio, Alessandro Ingrosso, Matteo Osella
Auxiliary learning is an optimization paradigm in which a neural network's performance on a target task is improved by jointly training it on additional tasks. However, the mechani…
Alternative routes to universal diversity scaling in component systems: from proteomes to large language models
Andrea Mazzolini, Leonardo Agasso, Filippo Valle +3
Remarkably common statistical laws characterize the diversity scaling and its fluctuations across a wide range of complex "component systems". These regularities are often interpre…
Component systems: do null models explain everything?
Andrea Mazzolini, Mattia Corigliano, Rossana Droghetti +2
Component systems - ensembles of realizations built from a shared repertoire of modular parts - are ubiquitous in biological, ecological, technological, and socio-cultural domains.…