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Publications

2006
Lanza V, Ambrosi D, Preziosi L. Exogenous control of vascular network formation in vitro: a mathematical model. NETWORKS AND HETEROGENEOUS MEDIA. 2006;1:621.
Leone M, Pagnani A, Parisi G, Zagordi O. Finite size corrections to random Boolean networks. Journal of Statistical Mechanics: Theory and Experiment. 2006;2006:P12012.
Braunstein A, Zecchina R. Learning by message-passing in networks of discrete synapses. Phys. Rev. Lett.. 2006;96:030201. Download: prl-synapses.pdf (233.04 KB)
Ciliberti S, Mézard M, Zecchina R. Message-Passing Algorithms for Non-Linear Nodes and Data Compression. ComPlexUs. 2006;3:58-65.
Mézard M, Zecchina R. Method and apparatus for resolution of problems using constrained discrete variables. Google Patents; 2006.
Zamparo M, Pelizzola A. Rigorous results on the local equilibrium kinetics of a protein folding model. Journal of Statistical Mechanics: Theory and Experiment. 2006;2006:P12009.
Ramezanpour A, Moghimi-Araghi S. Simplifying random satisfiability problems by removing frustrating interactions. Physical Review E. 2006;74:41105.
Mertens S, Mézard M, Zecchina R. Threshold values of random K-SAT from the cavity method. Random Structures and Algorithms. 2006;28:340.
Ramezanpour A, Moghimi-Araghi S. Spanning trees in random satisfiability problems. Journal of Physics A: Mathematical and General. 2006;39:4901-9.
Battaglia D, Kolar M, Zecchina R. From Statistical Methods to Algorithms. Int. J. Mod. Phys. B. 2006;20:2814-23.
Realpe J, Ordonez G. The Role of Chaos and Resonances in Brownian Motion. Studies in Fuzziness and Soft Computing. 2006;206.
2005
Ramezanpour A, Moghimi-Araghi S. Biased random satisfiability problems: From easy to hard instances. Physical Review E. 2005;71:66101.
Pelizzola A. Cluster variation method in statistical physics and probabilistic graphical models. JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL. 2005;38:R309-R339.
Mézard M, Mora T, Zecchina R. Clustering of Solutions in the Random Satisfiability Problem. Physical Review Letters. 2005;94:197205.
Braunstein A, Mézard M, Weigt M, Zecchina R. Constraint satisfaction by survey propagation. In: Percus A, Istrate G, Moore C, editors. Advances in Neural Information Processing Systems. Vol 9. Oxford University Press; 2005. 424. (Computational Complexity and Statistical Physics; vol 9).
Chavas J, Battaglia D, Ciccutin A, Zecchina R. Construction and VHDL implementation of a fully local network with good reconstruction properties of the inputs. Artificial Intelligence and Knowledge Engineering Applications: a Bioinspired approach, J. Mira, JR Alvarez editors, Part II. 2005:385-94.
Battaglia D, Braunstein A, Chavas J, Zecchina R. Exact Probing of Glassy States by Survey Propagation. In: Prog. Theor. Phys. Suppl. Vol 157.; 2005. p. 330-7.
Leone M, Pagnani A. Predicting protein functions with message passing algorithms. Bioinformatics. 2005;21:239.
Battaglia D, Braunstein A, Chavas J, Zecchina R. Source coding by efficient selection of ground-state clusters. Phys Rev E. Stat Nonlin Soft Matter Phys. 2005;72:015103.
Zecchina R. Statistical physics, optimization and source coding. Pramana. 2005;64:1161-73.
Chavas J, Furtlehner C, Mézard M, Zecchina R. Survey-propagation decimation through distributed local computations. J. Stat. Mech.. 2005:P11016.
Amelino-Camelia G, Arzano M, Procaccini A. A glimpse at the flat-spacetime limit of quantum gravity using the bekenstein argument in reverse. Int.J.Mod.Phys. D13 (2004) 2337-2343. 2005. Abstract
Ramezanpour A, Vaez Allaei SM. Elastic properties of small-world spring networks. Physical Review E. 2005;72:66115.
Pelizzola A. Exactness of the cluster variation method and factorization of the equilibrium probability for the Wako-Saito-Munoz-Eaton model of protein folding. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT. 2005:-.
Braunstein A, Mézard M, Zecchina R. Survey Propagation: an algorithm for satisfiability. Random Structures and Algorithms. 2005;27:201-26.