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

25 February 2021

Papers citing "Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron"

9 / 9 papers shown

Title
High-dimensional manifold of solutions in neural networks: insights from statistical physics Enrico M. Malatesta 75 4 0 20 Feb 2025
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks B. Annesi Enrico M. Malatesta Francesco Zamponi 71 3 0 09 Oct 2024
Clustering of solutions in the symmetric binary perceptron Carlo Baldassi R. D. Vecchia Carlo Lucibello R. Zecchina 30 16 0 15 Nov 2019
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes Carlo Baldassi C. Borgs J. Chayes Alessandro Ingrosso Carlo Lucibello Luca Saglietti R. Zecchina 57 168 0 20 May 2016
Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems Carlo Baldassi Alessandro Ingrosso Carlo Lucibello Luca Saglietti R. Zecchina 39 58 0 18 Nov 2015
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses Carlo Baldassi Alessandro Ingrosso Carlo Lucibello Luca Saglietti R. Zecchina 52 128 0 18 Sep 2015
Origin of the computational hardness for learning with binary synapses Haiping Huang Y. Kabashima 55 55 0 08 Aug 2014
Discrete perceptrons M. Stojnic 50 22 0 17 Jun 2013
Entropy landscape of solutions in the binary perceptron problem Haiping Huang K. Y. Michael Wong Y. Kabashima 58 35 0 10 Apr 2013