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From the 1 of 9 linked papers with an AI index.

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20242026
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9 papers

math.PR2026

Mesoscopic Rectangular Spikes under Subspace Local Laws: Outlier Values and Singular Subspaces

Yitzchak Shmalo

A rectangular data matrix is often modelled as noise plus a signal of low rank. When that rank is fixed the picture is classical: a signal direction must exceed a critical strength…

math.PR2026

Extreme least singular values of random row submatrices with bounded-density subgaussian entries

Xiufan Yang, Shu Wen, Yitzchak Shmalo

Let be a centered real subgaussian random variable with positive variance and a bounded Lebesgue density, and let have independent entries dist…

cs.LG2026

Randomly initialized autoencoders: fixed points and edge-of-chaos

Leonid Berlyand, Roman Sarapin, Yitzchak Shmalo +2

In this paper we study autoencoders, a special class of deep neural nets (DNNs) whose performance can be characterized via their fixed points. This perspective naturally raises que…

math.PR2026

The storage capacity of the Ising perceptron: verification of the outstanding numerical conditions

Yitzchak Shmalo

The paper gives a rigorous computer‑assisted proof that the storage capacity of the zero‑margin Ising perceptron converges to the constant α≈0.8330786 predicted by Krauth and Mézar…

cs.LG2026

A law of robustness for two-layer neural networks with arbitrary weights

Yitzchak Shmalo

Bubeck, Li and Nagaraj conjectured that, for generic data, any two-layer neural network with neurons that fits noisy labels must have Lipschitz constant at least of order $…

math.PR2026

Extreme least singular values of Gaussian row submatrices and a phase retrieval stability problem

Yitzchak Shmalo

Let and . If has independent standard Gaussian entries and $N_m/m\toÎ…