MARINO, RAFFAELE
MARINO, RAFFAELE
Fisica e Astronomia
Advective-diffusive motion on large scales from small-scale dynamics with an internal symmetry
2016 Marino, Raffaele; Aurell, Erik
Complex Recurrent Spectral Network
2024 Lorenzo Chicchi , Lorenzo Giambagli , Lorenzo Buffoni , Raffaele Marino , Duccio Fanelli
Criticality and conformality in the random dimer model
2021 S. Caracciolo; R. Fabbricatore; M. Gherardi; R. Marino; G. Parisi; G. Sicuro
Daydreaming Hopfield Networks and their surprising effectiveness on correlated data
2023 Ludovica Serricchio, Claudio Chilin, Dario Bocchi, Raffaele Marino, Matteo Negri, Chiara Cammarota, Federico Ricci-Tersenghi
Diffusion of a Brownian ellipsoid in a force field
2016 Aurell, Erik; Bo, Stefano; Dias, Marcelo; Eichhorn, Ralf; Marino, Raffaele
Dynamics and Thermodynamics of Translational and Rotational Diffusion Processes Driven out of Equilibrium
2016 Marino; Raffaele; Marino; Raffaele; Marino; Raffaele
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): a Bridge between Dynamical Systems and Machine Learning
2024 Raffaele Marino
Entropy production of a Brownian ellipsoid in the overdamped limit
2016 Marino, Raffaele; Eichhorn, Ralf; Aurell, Erik
Ergodic observables in non-ergodic systems: The example of the harmonic chain
2023 Marco Baldovin, Raffaele Marino, Angelo Vulpiani
Hard optimization problems have soft edges
2023 Raffaele Marino; Scott Kirkpatrick
Large Independent Sets on Random d-Regular Graphs with Fixed Degree d
2023 Raffaele Marino
Learning from survey propagation: a neural network for MAX-E-3-SAT
2021 Raffaele Marino
Nonequilibrium Monte Carlo for unfreezing variables near computational phase transitions
2022 Masoud Mohseni, Daniel Eppens, Federico Ricci-Tersenghi, Johan Strumpfer, Alan Ho, Raffaele Marino, Vasil Denchev, Sergei Isakov, Sergio Boixo, Hartmut Neven
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
2024 Marino Raffaele
Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes
2023 Raffaele Marino; Nicolas Macris
Stable attractors for neural networks classification via ordinary differential equations (SA-nODE)
2024 Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli , Duccio Fanelli
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
2024 Maria Chiara Angelini, Angelo Giorgio Cavaliere, Raffaele Marino, Federico Ricci-Tersenghi
The backtracking survey propagation algorithm for solving random K-SAT problems
2016 Marino R.; Parisi G.; Ricci-Tersenghi F.