Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems

11 September 2023

Papers citing "Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems"

6 / 6 papers shown

Title
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms Raffaele Marino L. Buffoni Bogdan Zavalnij GNN 32 5 0 13 Mar 2024
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing Raffaele Marino L. Buffoni Lorenzo Chicchi Lorenzo Giambagli Duccio Fanelli 27 1 0 22 Dec 2023
Complex Recurrent Spectral Network Lorenzo Chicchi Lorenzo Giambagli L. Buffoni Raffaele Marino Duccio Fanelli 22 6 0 12 Dec 2023
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks Raffaele Marino F. Ricci-Tersenghi 18 14 0 10 May 2023
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization Masoud Mohseni D. Eppens J. Strümpfer Raffaele Marino Vasil S. Denchev A. Ho Sergei V. Isakov Sergio Boixo F. Ricci-Tersenghi Hartmut Neven 21 20 0 26 Nov 2021
Hiding Quiet Solutions in Random Constraint Satisfaction Problems Florent Krzakala Lenka Zdeborová 65 110 0 14 Jan 2009