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The high-d landscapes paradigm: spin-glasses, and beyond
Published 16 Sep 2022 in cond-mat.dis-nn and cond-mat.stat-mech | (2209.07975v2)
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.
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