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2012.06344
Cited By

Learning from Survey Propagation: a Neural Network for MAX-E-$3$-SAT

v1v2 (latest)

Learning from Survey Propagation: a Neural Network for MAX-E- $3$ -SAT

10 December 2020

Raffaele Marino

ArXiv (abs)PDF HTML

Papers citing "Learning from Survey Propagation: a Neural Network for MAX-E-$3$-SAT"

9 / 9 papers shown

Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT
Problem: Does the LLM Solve the Problem Itself or Call an External SAT
Solver?

Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?

Raffaele Marino

307

5

0

17 Sep 2024

A Short Review on Novel Approaches for Maximum Clique Problem: from
Classical algorithms to Graph Neural Networks and Quantum algorithms

A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms

Raffaele Marino

Bogdan Zavalnij

391

10

0

13 Mar 2024

torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability
Problem

torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem

Abdelrahman I. Hosny

253

3

0

06 Feb 2024

Engineered Ordinary Differential Equations as Classification Algorithm
(EODECA): thorough characterization and testing

Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing

Raffaele Marino

Lorenzo Chicchi

Lorenzo Giambagli

419

1

0

22 Dec 2023

Complex Recurrent Spectral Network

Complex Recurrent Spectral Network

Lorenzo Chicchi

Lorenzo Giambagli

Raffaele Marino

295

7

0

12 Dec 2023

Stable Attractors for Neural networks classification via Ordinary
Differential Equations (SA-nODE)

Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE)

Raffaele Marino

Lorenzo Giambagli

Lorenzo Chicchi

324

8

0

17 Nov 2023

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

Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problemsScientific Reports (Sci Rep), 2023

Maria Chiara Angelini

Raffaele Marino

F. Ricci-Tersenghi

391

5

0

11 Sep 2023

Phase transitions in the mini-batch size for sparse and dense two-layer
neural networks

Phase transitions in the mini-batch size for sparse and dense two-layer neural networks

Raffaele Marino

F. Ricci-Tersenghi

379

16

0

10 May 2023

Typical and atypical solutions in non-convex neural networks with
discrete and continuous weights

Typical and atypical solutions in non-convex neural networks with discrete and continuous weightsPhysical Review E (PRE), 2023

Enrico M. Malatesta

Gabriele Perugini

382

23

0

26 Apr 2023

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