REVIEW 2 cited by
Free probability and random matrices
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
The concept of freeness was introduced by Voiculescu in the context of operator algebras. Later it was observed that it is also relevant for large random matrices. We will show how the combination of various free probability results with a linearization trick allows to address successfully the problem of determining the asymptotic eigenvalue distribution of general selfadjoint polynomials in independent random matrices.
Forward citations
Cited by 2 Pith papers
-
Correlation flow governs learning at criticality
At critical initialization, the infinite-depth neural tangent kernel converges to the fixed-point output correlation matrix divided by an activation-dependent constant, making learning dynamics equivalent to correlati...
-
Random matrix perspective on probabilistic error cancellation
Denoiser channels in probabilistic error cancellation inherit their complex spectra from random Lindblad operators; local noise creates a hierarchy of decay timescales.
Discussion (0). Continue with ORCID to comment.