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A
Alemi-Neissi A, Baldassi C, Braunstein A, Pagnani A, Zecchina R, Zoccolan D. Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition. BMC Neuroscience. 2012;13:1-2.
Altarelli F, Braunstein A, Ramezanpour A, Zecchina R. Stochastic optimization by message passing. JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT. 2011;2011. Abstract
Altarelli F, Braunstein A, Realpe-Gomez J, Zecchina R. Statistical mechanics of budget-constrained auctions. Journal of Statistical Mechanics: Theory and Experiment. 2009;2009:P07002 (27pp). Abstract
Altarelli F, Braunstein A, Ramezanpour A, Zecchina R. Stochastic Matching Problem. Phys. Rev. Lett.. 2011;106:190601.
B
Bailly-Bechet M, Braunstein A, Pagnani A, Weigt M, Zecchina R. Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. BMC bioinformatics. 2010;11:355. Abstract
Bailly-Bechet M, Bradde S, Braunstein A, Flaxman A, Foini L, Zecchina R. Clustering with shallow trees. JSTAT. 2009:17pp. Abstract
Bailly-Bechet M, Borgs C, Braunstein A, Chayes J, Dagkessamanskaia A, François JM, et al. Finding undetected protein associations in cell signaling by belief propagation. Proceedings of the National Academy of Sciences. 2010;108(2):882-7. Abstract  Download: PNAS-2011-Bailly-Bechet-882-7.pdf (324.11 KB)
Bailly-Bechet M, Braunstein A, Zecchina R. A Prize-Collecting Steiner Tree Approach for Transduction Network Inference. In: Proceedings of the 7th International Conference on Computational Methods in Systems Biology. Springer; 2009. 95.
Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. Proceedings of the National Academy of Sciences. 2007;104:11079-84.
Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. BMC Neuroscience. 2007;8:S13.
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.
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.
Bayati M, Borgs C, Braunstein A, Chayes J, Ramezanpour A, Zecchina R. Statistical Mechanics of Steiner Trees. Physical Review Letters. 2008;101:37208. Abstract  Download: prl-steiner.pdf (210.2 KB)
Bayati M, Braunstein A, Zecchina R. A rigorous analysis of the cavity equations for the minimum spanning tree. Journal of Mathematical Physics. 2008;49:125206. Download: BaBrZe2008.pdf: Copyright (2008) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. (270.23 KB)
Biazzo I, Braunstein A, Zecchina R. Performance of a cavity-method-based algorithm for the prize-collecting Steiner tree problem on graphs. Phys. Rev. E. 2012;86:026706.
Bradde S, Braunstein A, Mahmoudi H, Tria F, Weigt M, Zecchina R. Aligning graphs and finding substructures by a cavity approach. EPL (Europhysics Letters). 2010;89:37009. Abstract
Braunstein A, Leone M, Ricci-Tersenghi F, Zecchina R. Complexity transitions in global algorithms for sparse linear systems over finite fields. Journal of Physics A Mathematical and General. 2002;35:7559-74.
Braunstein A, Zecchina R. Survey and belief propagation on random k-sat. Lecture Notes in Computer Science. 2004;2919:519-28.
Braunstein A, Ramezanpour A, Zecchina R, Zhang P. Inference and learning in sparse systems with multiple states. Phys. Rev. E. 2011;83:056114.
Braunstein A, Mézard M, Zecchina R. Survey Propagation: an algorithm for satisfiability. Random Structures and Algorithms. 2005;27:201-26.
Braunstein A, Pagnani A, Weigt M, Zecchina R. Gene-network inference by message passing. In: Journal of Physics: Conference Series. Vol 95. IOP Publishing; 2008. 012016.
Braunstein A, Mulet R, Pagnani A. Estimating the size of the solution space of metabolic networks. BMC Bioinformatics. 2008;9:240. Abstract
Braunstein A, Zecchina R. Survey Propagation as local equilibrium equations. Journal of Statistical Mechanics: Theory and Experiment. 2004;6:P06007.
Braunstein A, Kayhan F, Zecchina R. Efficient data compression from statistical physics of codes over finite fields. Phys. Rev. E. 2011;84:051111.
Braunstein A, Mulet R, Pagnani A. The space of feasible solutions in metabolic networks. In: Journal of Physics: Conference Series. Vol 95. IOP Publishing; 2008. 012017.