213 citations · 551 across the 19 of their papers we have counts for
5 papers · 1 filter
The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory
Wenping Cui, Jason W. Rocks, Pankaj Mehta
We present a simple, perturbative approach for calculating spectral densities for random matrix ensembles in the thermodynamic limit we call the Perturbative Resolvent Method (PRM)…
Correlation of plastic events with local structure in jammed packings across spatial dimensions
Sean A. Ridout, Jason W. Rocks, Andrea J. Liu
In jammed packings, it is usually thought that local structure only plays a significant role in specific regimes. The standard deviation of the relative excess coordination, $σ_Z/…
Supervised learning in physical networks: From machine learning to learning machines
Menachem Stern, Daniel Hexner, Jason W. Rocks +1
Materials and machines are often designed with particular goals in mind, so that they exhibit desired responses to given forces or constraints. Here we explore an alternative appro…
Learning-based approach to plasticity in athermal sheared amorphous packings: Improving softness
Jason W. Rocks, Sean A. Ridout, Andrea J. Liu
The plasticity of amorphous solids undergoing shear is characterized by quasi-localized rearrangements of particles. While many models of plasticity exist, the precise relationship…
Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models
Jason W. Rocks, Pankaj Mehta
The bias-variance trade-off is a central concept in supervised learning. In classical statistics, increasing the complexity of a model (e.g., number of parameters) reduces bias but…