Raffaele Marino

According to our database, Raffaele Marino authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Raffaele Marino, Federico Ricci-Tersenghi

Mach. Learn. Sci. Technol., March, 2024

Stable attractors for neural networks classification via ordinary differential equations (SA-nODE).

Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli

Mach. Learn. Sci. Technol., 2024

Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise.

Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino

CoRR, 2024

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

CoRR, 2024

Learning in Wilson-Cowan model for metapopulation.

Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli

CoRR, 2024

Automatic Input Feature Relevance via Spectral Neural Networks.

Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli

CoRR, 2024

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

Raffaele Marino, Lorenzo Buffoni, Bogdán Zaválnij

CoRR, 2024

The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models.

Carlo Nicolini, Jacopo Staiano, Bruno Lepri, Raffaele Marino

CoRR, 2024

2023

Large Independent Sets on Random d-Regular Graphs with Fixed Degree d.

Raffaele Marino, Scott Kirkpatrick

Comput., October, 2023

Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes.

Raffaele Marino, Nicolas Macris

J. Sci. Comput., 2023

Complex Recurrent Spectral Network.

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli

CoRR, 2023

A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA).

Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli

CoRR, 2023

Where do hard problems really exist?

Raffaele Marino

CoRR, 2023

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

Maria Chiara Angelini, Angelo Giorgio Cavaliere, Raffaele Marino, Federico Ricci-Tersenghi

CoRR, 2023

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

Raffaele Marino, Federico Ricci-Tersenghi

CoRR, 2023

2022

Hard Optimization Problems have Soft Edges.

Raffaele Marino, Scott Kirkpatrick

CoRR, 2022

2021

Learning from survey propagation: a neural network for MAX-E-3-SAT.

Raffaele Marino

Mach. Learn. Sci. Technol., September, 2021

Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization.

Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven

CoRR, 2021

2020

Large independent sets on random d-regular graphs with d small.

Raffaele Marino, Scott Kirkpatrick

CoRR, 2020

2018

Revisiting the Challenges of MaxClique.

Raffaele Marino, Scott Kirkpatrick

CoRR, 2018

2015

The Backtracking Survey Propagation Algorithm for Solving Random K-SAT Problems.

Raffaele Marino, Giorgio Parisi, Federico Ricci-Tersenghi

CoRR, 2015