Follow
Raffaele Marino
Title
Cited by
Cited by
Year
The backtracking survey propagation algorithm for solving random K-SAT problems
R Marino, G Parisi, F Ricci-Tersenghi
Nature Communications 7, 12996, 2016
632016
Entropy production of a Brownian ellipsoid in the overdamped limit
R Marino, R Eichhorn, E Aurell
Phys. Rev. E 93, 012132, 2016
232016
Diffusion of a Brownian ellipsoid in a force field
E Aurell, S Bo, M Dias, R Eichhorn, R Marino
EPL (Europhysics Letters) 114 (3), 30005, 2016
172016
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
M Mohseni, D Eppens, J Strumpfer, R Marino, V Denchev, AK Ho, ...
arXiv preprint arXiv:2111.13628, 2021
132021
Learning from Survey Propagation: a Neural Network for MAX-E-3-SAT
R Marino
Mach. Learn.: Sci. Technol., 19, 2021
122021
Advective-diffusive motion on large scales from small-scale dynamics with an internal symmetry
R Marino, E Aurell
Phys. Rev. E 93, 062147, 2016
122016
Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes
R Marino, N Macris
Journal of Scientific Computing, 28, 2023
112023
Criticality and conformality in the random dimer model
S Caracciolo, R Fabbricatore, M Gherardi, R Marino, G Parisi, G Sicuro
Physical Review E 103, 2021
102021
Hard optimization problems have soft edges
R Marino, S Kirkpatrick
Scientific Report 13, 2023
92023
Ergodic observables in non-ergodic systems: the example of the harmonic chain
M Baldovin, R Marino, A Vulpiani
Physica A: Statistical Mechanics and its Applications, 129273, 2023
72023
Large independent sets on random -regular graphs with fixed degree
R Marino, S Kirkpatrick
Computation-Special Issue Solstice 2023—International Conference on …, 2023
7*2023
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
R Marino, F Ricci-Tersenghi
Machine Learning: Science and Technology 5 (015015), 15, 2024
5*2024
Stochastic gradient descent-like relaxation is equivalent to glauber dynamics in discrete optimization and inference problems
MC Angelini, AG Cavaliere, R Marino, F Ricci-Tersenghi
arXiv preprint arXiv:2309.05337, 2023
52023
Revisiting the challenges of maxclique
R Marino, S Kirkpatrick
arXiv preprint arXiv:1807.09091, 2018
52018
Daydreaming Hopfield Networks and their surprising effectiveness on correlated data
L Serricchio, C Chilin, D Bocchi, R Marino, M Negri, C Cammarota, ...
Associative Memory & Hopfield Networks in 2023 (Neurips 2023), 2023
42023
A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA)
R Marino, L Giambagli, L Chicchi, L Buffoni, D Fanelli
arXiv:2311.10387, 2023
32023
Dynamics and Thermodynamics of Translational and Rotational Diffusion Processes Driven out of Equilibrium
R Marino
KTH, School of Computer Science and Communication (CSC)., 2017
32017
Complex Recurrent Spectral Network
L Chicchi, L Giambagli, L Buffoni, R Marino, D Fanelli
arXiv:2312.07296, 2023
22023
Where do hard problems really exist?
R Marino
arXiv:2309.16253, 2023
22023
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
R Marino, L Buffoni, L Chicchi, L Giambagli, D Fanelli
arXiv:2312.14681, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–20