Cover Image

Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Del Bono, Luca Maria, Ricci-Tersenghi, Federico, Zamponi, Francesco
Format:	Preprint
Published:	2024
Subjects:	Disordered Systems and Neural Networks Statistical Mechanics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
by: Del Bono, Luca Maria, et al.
Published: (2025)

Transition path sampling in Ising models on heterogeneous graphs
by: Cipolloni, Riccardo, et al.
Published: (2026)

Analytical solution to Heisenberg spin glass models on sparse random graphs and their de Almeida-Thouless line
by: Del Bono, Luca Maria, et al.
Published: (2024)

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization
by: Del Bono, Luca Maria, et al.
Published: (2025)

Strong ergodicity breaking in dynamical mean-field equations for mixed p-spin glasses
by: Citro, Vincenzo, et al.
Published: (2025)

Biased thermodynamics can explain the behaviour of smart optimization algorithms that work above the dynamical threshold
by: Cavaliere, Angelo Giorgio, et al.
Published: (2023)

Interacting Copies of Random Constraint Satisfaction Problems
by: Angelini, Maria Chiara, et al.
Published: (2025)

Discontinuous BBP transitions
by: Bocchi, Dario, et al.
Published: (2026)

Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
by: Marino, Raffaele, et al.
Published: (2023)

Networks of neural networks: more is different
by: Agliari, Elena, et al.
Published: (2025)

Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
by: Angelini, Maria Chiara, et al.
Published: (2023)

Multiscaling in the 3D critical site-diluted Ising ferromagnet
by: Marinari, E., et al.
Published: (2023)

Rare Trajectories in a Prototypical Mean-field Disordered Model: Insights into Landscape and Instantons
by: Charbonneau, Patrick, et al.
Published: (2025)

Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings
by: D'Amico, Francesco, et al.
Published: (2025)

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
by: Bae, Stefano, et al.
Published: (2025)

Low energy excitations in a long prism geometry: computing the lower critical dimension of the Ising spin glass
by: Bernaschi, Massimo, et al.
Published: (2026)

Long-range spectral statistics of the Rosenzweig-Porter model
by: Buijsman, Wouter
Published: (2023)

Preferential attachment and power-law degree distributions in heterogeneous multilayer hypergraphs
by: Di Lauro, Francesco, et al.
Published: (2025)

Non-reciprocal interactions and high-dimensional chaos: comparing dynamics and statistics of equilibria in a solvable class of models
by: Fournier, Samantha J., et al.
Published: (2025)

Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs
by: Braunstein, Alfredo, et al.
Published: (2025)

Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium
by: Carnazza, Francesco, et al.
Published: (2024)

Construction of a Neural Network with Temperature-Dependent Recall Patterns
by: Sasaki, Munetaka
Published: (2026)

Yielding and plasticity in amorphous solids
by: Berthier, Ludovic, et al.
Published: (2024)

Functional bottlenecks can emerge from non-epistatic underlying traits
by: Schulte, Anna Ottavia, et al.
Published: (2025)

Creating equilibrium glassy states via random particle bonding
by: Ozawa, Misaki, et al.
Published: (2023)

Scaling analysis and renormalization group on the mobility edge in the quantum random energy model
by: Balducci, Federico, et al.
Published: (2025)

Algorithm-independent bounds on complex optimization through the statistics of marginal optima
by: Kent-Dobias, Jaron
Published: (2024)

Finding the right path: statistical mechanics of connected solutions in constraint satisfaction problems
by: Barbier, Damien
Published: (2025)

Matrix-Product Belief Propagation for continuous-state-space variables
by: Florio, Federico, et al.
Published: (2026)

Tree networks of real-world data: analysis of efficiency and spatiotemporal scales
by: Cipollini, Davide, et al.
Published: (2024)

Hopfield model for patterns with internal structure
by: Nieuwenhuizen, Theodorus Maria
Published: (2026)

Localized and delocalized modes on random geometric graphs in 1D
by: Schaefer, Luca, et al.
Published: (2025)

The critical slowing down in diffusion models
by: Del Bono, Luca Maria, et al.
Published: (2026)

Density-dependent stochastic resetting: a large deviations framework for achieving target distributions over networks
by: Coghi, Francesco, et al.
Published: (2024)

A statistical physics framework for optimal learning
by: Mignacco, Francesca, et al.
Published: (2025)

Intensity pseudo-localized phase in the glassy random laser
by: Niedda, Jacopo, et al.
Published: (2022)

Logarithmic kinetics and bundling in physical networks
by: Bonamassa, I., et al.
Published: (2024)

Delocalization-localization dynamical phase transition of random walks on graphs
by: Carugno, Giorgio, et al.
Published: (2022)

Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks
by: Baccetti, Valentina, et al.
Published: (2023)

Statistical physics through the lens of real-space mutual information
by: Gökmen, Doruk Efe, et al.
Published: (2021)