3 papers
stat.ML2026
Deep networks learn to parse uniform-depth context-free languages from local statistics
Jack T. Parley, Francesco Cagnetta, Matthieu Wyart
Understanding how the structure of language can be learned from sentences alone is a central question in both cognitive science and machine learning. Studies of the internal repres…
cond-mat.stat-mech2025
Coarse grained descriptions of the dynamics of yielding of amorphous solids under cyclic shear
Debargha Sarkar, Jishnu N. Nampoothiri, Muhittin Mungan +3
Recent computer simulations reveal several intriguing features in the evolution of properties of amorphous solids subjected to repeated cyclic shear deformation. These include the…
cond-mat.soft2024
Ductile and brittle yielding of athermal amorphous solids: a mean-field paradigm beyond the random field Ising model
Jack T. Parley, Peter Sollich
Developing a unified theory describing both ductile and brittle yielding constitutes a fundamental challenge of non-equilibrium statistical physics. Recently, it has been proposed…