Publication

Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron

Emmanuel Abbé
2022
Conference Papers

Abstract

YY We consider the symmetric binary perceptron model, a simple model of neural networks that has gathered significant attention in the statistical physics, information theory and probability theory communities, with recent connections made to the performance of learning algorithms in Baldassi et al. '15.

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Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron

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