45 citations · 55 across the 6 of their papers we have counts for
6 papers
Scaling limit of the Random Language Model
Eric De Giuli
We develop a quantitative theory of the Random Language Model (RLM), an ensemble of stochastic context-free grammars, in a scaling limit where the number of hidden symbols $N \to \…
Phase structure of the Random Language Model
Alessio Giorlandino, Eric De Giuli, Sebastian Goldt
Context-free grammars are minimal models of hierarchical structure in human language, generating structured text from recursive production rules. The Random Language Model (RLM) [D…
Is stochastic thermodynamics the key to understanding the energy costs of computation?
David Wolpert, Jan Korbel, Christopher Lynn +16
The relationship between the thermodynamic and computational characteristics of dynamical physical systems has been a major theoretical interest since at least the 19th century, an…
Robustness of the Random Language Model
Fatemeh Lalegani, Eric De Giuli
The Random Language Model (De Giuli 2019) is an ensemble of stochastic context-free grammars, quantifying the syntax of human and computer languages. The model suggests a simple pi…
Fermionic theory of nonequilibrium steady states
Eric De Giuli, Masanari Shimada
As the quantification of metabolism, nonequilibrium steady states play a central role in living matter, but are beyond the purview of equilibrium statistical mechanics. Here we dev…
Random quench predicts universal properties of amorphous solids
Masanari Shimada, Eric De Giuli
Amorphous solids display numerous universal features in their mechanics, structure, and response. Current models assume heterogeneity in mesoscale elastic properties, but require f…