Raffaele Marino

27 papers Journal 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems. CoRR Geri Skenderi, Lorenzo Buffoni, Francesco D'Amico, David Machado, Raffaele Marino, Matteo Negri, Federico Ricci-Tersenghi, Carlo Lucibello, Maria Chiara Angelini
2025	J	`jnl`	Daydreaming Hopfield Networks and their surprising effectiveness on correlated data. Neural Networks Ludovica Serricchio, Dario Bocchi, Claudio Chilin, Raffaele Marino, Matteo Negri, Chiara Cammarota, Federico Ricci-Tersenghi
2025	J	`jnl`	Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. Mach. Learn. Sci. Technol. Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino
2025	J	`jnl`	Learning in Wilson-Cowan Model for Metapopulation. Neural Comput. Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
2024	J	`jnl`	A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms. CoRR Raffaele Marino, Lorenzo Buffoni, Bogdán Zaválnij
2024	J	`jnl`	Automatic Input Feature Relevance via Spectral Neural Networks. CoRR Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli
2024	J	`jnl`	Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. CoRR Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino
2024	J	`jnl`	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? CoRR Raffaele Marino
2024	J	`jnl`	Learning in Wilson-Cowan model for metapopulation. CoRR Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
2024	J	`jnl`	Phase transitions in the mini-batch size for sparse and dense two-layer neural networks. Mach. Learn. Sci. Technol. Raffaele Marino, Federico Ricci-Tersenghi
2024	J	`jnl`	Stable attractors for neural networks classification via ordinary differential equations (SA-nODE). Mach. Learn. Sci. Technol. Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli
2024	J	`jnl`	The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models. CoRR Carlo Nicolini, Jacopo Staiano, Bruno Lepri, Raffaele Marino
2023	J	`jnl`	A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). CoRR Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli
2023	J	`jnl`	Complex Recurrent Spectral Network. CoRR Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli
2023	J	`jnl`	Large Independent Sets on Random d-Regular Graphs with Fixed Degree d. Comput. Raffaele Marino, Scott Kirkpatrick
2023	J	`jnl`	Phase transitions in the mini-batch size for sparse and dense neural networks. CoRR Raffaele Marino, Federico Ricci-Tersenghi
2023	J	`jnl`	Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes. J. Sci. Comput. Raffaele Marino, Nicolas Macris
2023	J	`jnl`	Stochastic Gradient Descent-like relaxation is equivalent to Glauber dynamics in discrete optimization and inference problems. CoRR Maria Chiara Angelini, Angelo Giorgio Cavaliere, Raffaele Marino, Federico Ricci-Tersenghi
2023	J	`jnl`	Where do hard problems really exist? CoRR Raffaele Marino
2022	J	`jnl`	Hard Optimization Problems have Soft Edges. CoRR Raffaele Marino, Scott Kirkpatrick
2021	J	`jnl`	Learning from survey propagation: a neural network for MAX-E-3-SAT. Mach. Learn. Sci. Technol. Raffaele Marino
2021	J	`jnl`	Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. CoRR Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven
2020	J	`jnl`	Large independent sets on random d-regular graphs with d small. CoRR Raffaele Marino, Scott Kirkpatrick
2020	J	`jnl`	Learning from Survey Propagation: a Neural Network for MAX-E-3-SAT. CoRR Raffaele Marino
2020	J	`jnl`	Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes. CoRR Nicolas Macris, Raffaele Marino
2018	J	`jnl`	Revisiting the Challenges of MaxClique. CoRR Raffaele Marino, Scott Kirkpatrick
2015	J	`jnl`	The Backtracking Survey Propagation Algorithm for Solving Random K-SAT Problems. CoRR Raffaele Marino, Giorgio Parisi, Federico Ricci-Tersenghi