The high-d landscapes paradigm: spin-glasses, and beyond
Disordered Systems and Neural Networks
2023-04-12 v2 Statistical Mechanics
Abstract
We review recent developments on the characterization of random landscapes in high-dimension. We focus in particular on the problem of characterizing the landscape topology and geometry, discussing techniques to count and classify its stationary points and stressing connections with the statistical physics of disordered systems and with random matrix theory.
Keywords
Cite
@article{arxiv.2209.07975,
title = {The high-d landscapes paradigm: spin-glasses, and beyond},
author = {Valentina Ros and Yan V. Fyodorov},
journal= {arXiv preprint arXiv:2209.07975},
year = {2023}
}
Comments
Contribution to the book Spin Glass Theory and Far Beyond: Replica Symmetry Breaking after 40 Years