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Solvable Matrix Models
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We review some old and new methods of reduction of the number of degrees of freedom from ~N^2 to ~N in the multi-matrix integrals.
Forward citations
Cited by 2 Pith papers
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Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation
A replica/HCIZ theory predicts the Bayes-optimal generalization error of proportional-width MLPs near interpolation and discovers layer-wise specialization transitions that make deeper targets harder to learn.
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Phases in WLZZ Matrix Models
For WLZZ two-matrix models, integration contours describe only a finite-N subspace of Ward identity solutions, and the full solution space is recovered only in the N-to-infinity limit.
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