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20102026
most citedDirect-coupling analysis of residue co-evolution captures native contacts across many protein families

1.6k citations

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14 papers · 1 filter

cond-mat.stat-mech2024

Nonequilibrium steady-state dynamics of Markov processes on graphs

Stefano Crotti, Thomas Barthel, Alfredo Braunstein

We propose an analytic approach for the steady-state dynamics of Markov processes on locally tree-like graphs. It is based on time-translation invariant probability distributions f…

cond-mat.stat-mech2024★ 7 cited

Metabolic coordination and phase transitions in spatially distributed multi-cellular systems

Krishnadev Narayanankutty, José Antonio Pereiro-Morejon, Arián Ferrero-Fernández +7

During overflow metabolism, cells excrete glycolytic byproducts when growing under aerobic conditions in a seemingly wasteful fashion. While potentially advantageous for microbes w…

cond-mat.stat-mech2023★ 9 cited

Matrix Product Belief Propagation for reweighted stochastic dynamics over graphs

Stefano Crotti, Alfredo Braunstein

Stochastic processes on graphs can describe a great variety of phenomena ranging from neural activity to epidemic spreading. While many existing methods can accurately describe typ…

cond-mat.stat-mech2020★ 4 cited

A Density Consistency approach to the inverse Ising problem

Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta +1

We propose a novel approach to the inverse Ising problem which employs the recently introduced Density Consistency approximation (DC) to determine the model parameters (couplings a…

cond-mat.stat-mech2018★ 11 cited

Optimality in self-organized molecular sorting

Marco Zamparo, Donatella Valdembri, Guido Serini +4

We introduce a simple physical picture to explain the process of molecular sorting, whereby specific proteins are concentrated and distilled into submicrometric lipid vesicles in e…

cond-mat.stat-mech2018★ 4 cited

Loop corrections in spin models through density consistency

Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta

Computing marginal distributions of discrete or semidiscrete Markov random fields (MRFs) is a fundamental, generally intractable problem with a vast number of applications in virtu…

cond-mat.stat-mech2016★ 4 cited

A method to reduce the rejection rate in Monte Carlo Markov Chains

Carlo Baldassi

We present a method for Monte Carlo sampling on systems with discrete variables (focusing in the Ising case), introducing a prior on the candidate moves in a Metropolis-Hastings sc…

cond-mat.stat-mech2015★ 4 cited

Inference for interacting linear waves in ordered and random media

P. Tyagi, A. Pagnani, F. Antenucci +2

A statistical inference method is developed and tested for pairwise interacting systems whose degrees of freedom are continuous angular variables, such as planar spins in magnetic…

cond-mat.stat-mech2014★ 3 cited

Generalized belief propagation for the magnetization of the simple cubic Ising model

Alessandro Pelizzola

A new approximation of the cluster variational method is introduced for the three-dimensional Ising model on the simple cubic lattice. The maximal cluster is, as far as we know, th…

cond-mat.stat-mech2013★ 15 cited

Variational approximations for stationary states of Ising-like models

Alessandro Pelizzola

We introduce a new variational approach to the stationary state of kinetic Ising-like models. The approach is based on the cluster expansion of the entropy term appearing in a func…

cond-mat.stat-mech2013★ 55 cited

Large deviations of cascade processes on graphs

F. Altarelli, A. Braunstein, L. Dall'Asta +1

Simple models of irreversible dynamical processes such as Bootstrap Percolation have been successfully applied to describe cascade processes in a large variety of different context…

cond-mat.stat-mech2011★ 16 cited

Stochastic optimization by message passing

Fabrizio Altarelli, Alfredo Braunstein, Abolfazl Ramezanpour +1

Most optimization problems in applied sciences realistically involve uncertainty in the parameters defining the cost function, of which only statistical information is known before…

cond-mat.stat-mech2011★ 26 cited

The stochastic matching problem

Fabrizio Altarelli, Alfredo Braunstein, Abolfazl Ramezanpour +1

The matching problem plays a basic role in combinatorial optimization and in statistical mechanics. In its stochastic variants, optimization decisions have to be taken given only s…

cond-mat.stat-mech2011★ 5 cited

Palette-colouring: a belief-propagation approach

Alessandro Pelizzola, Marco Pretti, Jort van Mourik

We consider a variation of the prototype combinatorial-optimisation problem known as graph-colouring. Our optimisation goal is to colour the vertices of a graph with a fixed number…