Book Chapter
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).
Tuncbag N, Braunstein A, Pagnani A, Huang S-, Chayes J, Borgs C, et al. Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. In: Chor B, editor. Research in Computational Molecular Biology. Vol 7262. Springer Berlin Heidelberg; 2012. p. 287-301. (Lecture Notes in Computer Science; vol 7262).
Conference Paper
Braunstein A, Kayhan F, Zecchina R. Efficient LDPC Codes over GF(q) for Lossy Data Compression. In: IEEE International Symposium on Information Theory, 2009. ISIT 2009. Seul, Korea; 2009. Abstract  Download: ISIT2009.pdf (814.41 KB)
Braunstein A, Kayhan F, Montorsi G, Zecchina R. Encoding for the Blackwell Channel with Reinforced Belief Propagation. In: IEEE International Symposium on Information Theory (ISIT07).; 2007. p. 1891-5.
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.
Lage-Castellanos A, Pagnani A, Weigt M. The importance of dilution in the inference of biological networks. In: Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on. IEEE; 2010. p. 531-8.
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.
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.
Journal Article