Raffaele Marino

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Classification Algorithm

Ordinary Differential Equations

Top Venues

Mach. Learn. Sci. Technol.

J. Sci. Comput.

Publications

Carlo Nicolini, Jacopo Staiano, Bruno Lepri, Raffaele Marino
The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models. CoRR (2024)
Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli
Automatic Input Feature Relevance via Spectral Neural Networks. CoRR (2024)
Raffaele Marino, Federico Ricci-Tersenghi
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks. Mach. Learn. Sci. Technol. 5 (1) (2024)
Raffaele Marino, Lorenzo Buffoni, Bogdán Zaválnij
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
Learning in Wilson-Cowan model for metapopulation. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing. CoRR (2023)
Maria Chiara Angelini, Angelo Giorgio Cavaliere, Raffaele Marino, Federico Ricci-Tersenghi
Stochastic Gradient Descent-like relaxation is equivalent to Glauber dynamics in discrete optimization and inference problems. CoRR (2023)
Raffaele Marino, Scott Kirkpatrick
Large Independent Sets on Random d-Regular Graphs with Fixed Degree d. Comput. 11 (10) (2023)
Raffaele Marino, Nicolas Macris
Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes. J. Sci. Comput. 94 (1) (2023)
Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli
Complex Recurrent Spectral Network. CoRR (2023)
Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli
A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). CoRR (2023)
Raffaele Marino
Where do hard problems really exist? CoRR (2023)
Raffaele Marino, Federico Ricci-Tersenghi
Phase transitions in the mini-batch size for sparse and dense neural networks. CoRR (2023)
Raffaele Marino, Scott Kirkpatrick
Hard Optimization Problems have Soft Edges. CoRR (2022)
Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. CoRR (2021)
Raffaele Marino
Learning from survey propagation: a neural network for MAX-E-3-SAT. Mach. Learn. Sci. Technol. 2 (3) (2021)
Nicolas Macris, Raffaele Marino
Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes. CoRR (2020)
Raffaele Marino
Learning from Survey Propagation: a Neural Network for MAX-E-3-SAT. CoRR (2020)
Raffaele Marino, Scott Kirkpatrick
Large independent sets on random d-regular graphs with d small. CoRR (2020)
Raffaele Marino, Scott Kirkpatrick
Revisiting the Challenges of MaxClique. CoRR (2018)
Raffaele Marino, Giorgio Parisi, Federico Ricci-Tersenghi
The Backtracking Survey Propagation Algorithm for Solving Random K-SAT Problems. CoRR (2015)