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kamraj B, Rituraj P. In-silico analysis of Betaine Aldehyde Dehydrogenase2 of Oryza sativa and significant mutations responsible for fragrance. Journal of Plant Interactions. 2012.
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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, Monasson R, Zamponi F. Can rare SAT formulae be easily recognized? On the efficiency of message-passing algorithms for K-SAT at large clause-to-variable ratios. Journal of Physics A: Mathematical and Theoretical. 2007;40:867-86. Abstract
Altarelli F, Monasson R, Zamponi F. Relationship between clustering and algorithmic phase transitions in the random k-XORSAT model and its NP-complete extensions. In: Journal of Physics: Conference Series. Vol 95. Institute of Physics Publishing; 2008. 012013.
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, Ramezanpour A, Zecchina R. Stochastic Matching Problem. Phys. Rev. Lett.. 2011;106:190601.
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
Amelino-Camelia G, Kowalski-Glikman J, Mandanici G, Procaccini A. Phenomenology of doubly special relativity. Int.J.Mod.Phys. A20 (2005) 6007-6038. 2003. Abstract
Amelino-Camelia G, Arzano M, Procaccini A. Severe constraints on the loop-quantum-gravity energy-momentum dispersion relation from the black-hole area-entropy law. Physical Review D. 2004;70:107501. Abstract
Amelino-Camelia G, Benedetti D, D'Andrea F, Procaccini A. Comparison of relativity theories with observer-independent scales of both velocity and length/mass. Classical and Quantum Gravity. 2003;20:5353-70. Abstract
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
Amelino-Camelia G, Kowalski-Glikman J, Mandanici G, Procaccini A. Phenomenology of doubly special relativity. Arxiv preprint gr-qc/0312124. 2003. Abstract
Amoruso C, Marinari E, Martin OC, Pagnani A. Scalings of domain wall energies in two dimensional Ising spin glasses. Physical review letters. 2003;91:87201.
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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, Benecke A, Hardt WD, Lanza V, Sturm A, Zecchina R. An externally modulated, noise-driven switch for the regulation of SPI1 in Salmonella enterica serovar Typhimurium. Journal of Mathematical Biology. 2011;63:637-62.
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.
Bailly-Bechet M, Bradde S, Braunstein A, Flaxman A, Foini L, Zecchina R. Clustering with shallow trees. JSTAT. 2009:17pp. Abstract
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
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. Generalization Learning in a Perceptron with Binary Synapses. Journal of Statistical Physics. 2009;136(5). Abstract  Download: Baldassi09.pdf (562.66 KB)
Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. BMC Neuroscience. 2007;8:S13.
Ballerini M, Cabibbo N, Candelier R, Cavagna A, Cisbani E, Giardina I, et al. Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study. Proceedings of the National Academy of Sciences. 2008;105:1232. Abstract
Ballerini M, Cabibbo N, Candelier R, Cavagna A, Cisbani E, Giardina I, et al. Empirical investigation of starling flocks: a benchmark study in collective animal behaviour. Animal behaviour. 2008;76:201-15. Abstract
Balu K, Purohit R. Mutational analysis of TYR gene and its structural consequences in OCA1A. Gene. 2013;513:184-95.
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.