| Year |
Citation |
Score |
| 2022 |
Biazzo I, Braunstein A, Dall'Asta L, Mazza F. A Bayesian generative neural network framework for epidemic inference problems. Scientific Reports. 12: 19673. PMID 36385141 DOI: 10.1038/s41598-022-20898-x |
0.307 |
|
| 2020 |
Braunstein A, Paola Muntoni A, Pagnani A, Pieropan M. Compressed sensing reconstruction using expectation propagation Journal of Physics a: Mathematical and Theoretical. 53: 184001. DOI: 10.1088/1751-8121/Ab3065 |
0.396 |
|
| 2020 |
Ortega E, Braunstein A, Lage-Castellanos A. Contamination source detection in water distribution networks using belief propagation Stochastic Environmental Research and Risk Assessment. 34: 493-511. DOI: 10.1007/S00477-020-01788-Y |
0.366 |
|
| 2019 |
Muntoni AP, Rojas RDH, Braunstein A, Pagnani A, Pérez Castillo I. Nonconvex image reconstruction via expectation propagation. Physical Review. E. 100: 032134. PMID 31639925 DOI: 10.1103/Physreve.100.032134 |
0.327 |
|
| 2019 |
Braunstein A, Catania G, Dall'Asta L. Loop Corrections in Spin Models through Density Consistency. Physical Review Letters. 123: 020604. PMID 31386499 DOI: 10.1103/Physrevlett.123.020604 |
0.361 |
|
| 2019 |
Braunstein A, Ingrosso A, Muntoni AP. Network reconstruction from infection cascades. Journal of the Royal Society, Interface. 16: 20180844. PMID 30958195 DOI: 10.1098/Rsif.2018.0844 |
0.363 |
|
| 2018 |
Braunstein A, Paola Muntoni A. The cavity approach for Steiner trees packing problems Journal of Statistical Mechanics: Theory and Experiment. 2018: 123401. DOI: 10.1088/1742-5468/Aaeb3F |
0.47 |
|
| 2017 |
Bindi J, Braunstein A, Dall'Asta L. Predicting epidemic evolution on contact networks from partial observations. Plos One. 12: e0176376. PMID 28445537 DOI: 10.1371/Journal.Pone.0176376 |
0.359 |
|
| 2017 |
Braunstein A, Muntoni AP, Pagnani A. An analytic approximation of the feasible space of metabolic networks. Nature Communications. 8: 14915. PMID 28382977 DOI: 10.1038/Ncomms14915 |
0.343 |
|
| 2016 |
Braunstein A, Dall'Asta L, Semerjian G, Zdeborová L. Network dismantling. Proceedings of the National Academy of Sciences of the United States of America. 113: 12368-12373. PMID 27791075 DOI: 10.1073/pnas.1605083113 |
0.355 |
|
| 2016 |
Braunstein A, Ingrosso A. Inference of causality in epidemics on temporal contact networks. Scientific Reports. 6: 27538. PMID 27283451 DOI: 10.1038/Srep27538 |
0.38 |
|
| 2016 |
Braunstein A, Muntoni A. Practical optimization of Steiner trees via the cavity method Journal of Statistical Mechanics: Theory and Experiment. 2016: 073302. DOI: 10.1088/1742-5468/2016/07/073302 |
0.466 |
|
| 2016 |
Braunstein A, Dall’Asta L, Semerjian G, Zdeborová L. The large deviations of the whitening process in random constraint satisfaction problems Journal of Statistical Mechanics: Theory and Experiment. 2016: 053401. DOI: 10.1088/1742-5468/2016/05/053401 |
0.337 |
|
| 2015 |
Altarelli F, Braunstein A, Dall'Asta L, De Bacco C, Franz S. The Edge-Disjoint Path Problem on Random Graphs by Message-Passing. Plos One. 10: e0145222. PMID 26710102 DOI: 10.1371/Journal.Pone.0145222 |
0.466 |
|
| 2015 |
Baldassi C, Braunstein A. A Max-Sum algorithm for training discrete neural networks Journal of Statistical Mechanics: Theory and Experiment. 2015: P08008. DOI: 10.1088/1742-5468/2015/08/P08008 |
0.459 |
|
| 2015 |
Baldassi C, Braunstein A, Ramezanpour A, Zecchina R. Statistical physics and network optimization problems Lecture Notes in Mathematics. 2141: 27-49. DOI: 10.1007/978-3-319-16967-5_2 |
0.579 |
|
| 2014 |
Altarelli F, Braunstein A, Dall'Asta L, Lage-Castellanos A, Zecchina R. Bayesian inference of epidemics on networks via belief propagation. Physical Review Letters. 112: 118701. PMID 24702425 DOI: 10.1103/Physrevlett.112.118701 |
0.644 |
|
| 2014 |
Gitter A, Braunstein A, Pagnani A, Baldassi C, Borgs C, Chayes J, Zecchina R, Fraenkel E. Sharing information to reconstruct patient-specific pathways in heterogeneous diseases. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 39-50. PMID 24297532 |
0.557 |
|
| 2014 |
Altarelli F, Braunstein A, Dall'Asta L, Wakeling JR, Zecchina R. Containing epidemic outbreaks by message-passing techniques Physical Review X. 4. DOI: 10.1103/Physrevx.4.021024 |
0.611 |
|
| 2014 |
Altarelli F, Braunstein A, Dall'Asta L, Ingrosso A, Zecchina R. The patient-zero problem with noisy observations Journal of Statistical Mechanics: Theory and Experiment. 2014. DOI: 10.1088/1742-5468/2014/10/P10016 |
0.625 |
|
| 2013 |
Molinelli EJ, Korkut A, Wang W, Miller ML, Gauthier NP, Jing X, Kaushik P, He Q, Mills G, Solit DB, Pratilas CA, Weigt M, Braunstein A, Pagnani A, Zecchina R, et al. Perturbation biology: inferring signaling networks in cellular systems. Plos Computational Biology. 9: e1003290. PMID 24367245 DOI: 10.1371/Journal.Pcbi.1003290 |
0.608 |
|
| 2013 |
Altarelli F, Braunstein A, Dall'Asta L, Zecchina R. Large deviations of cascade processes on graphs. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 87: 062115. PMID 23848635 DOI: 10.1103/Physreve.87.062115 |
0.62 |
|
| 2013 |
Tuncbag N, Braunstein A, Pagnani A, Huang SS, Chayes J, Borgs C, Zecchina R, Fraenkel E. Simultaneous reconstruction of multiple signaling pathways via the prize-collecting steiner forest problem. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 20: 124-36. PMID 23383998 DOI: 10.1089/Cmb.2012.0092 |
0.609 |
|
| 2013 |
Baldassi C, Braunstein A, Zecchina R. Theory and learning protocols for the material tempotron model Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/12/P12013 |
0.624 |
|
| 2013 |
Altarelli F, Braunstein A, Dall'Asta L, Zecchina R. Optimizing spread dynamics on graphs by message passing Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/09/P09011 |
0.677 |
|
| 2012 |
Biazzo I, Braunstein A, Zecchina R. Performance of a cavity-method-based algorithm for the prize-collecting Steiner tree problem on graphs. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 026706. PMID 23005881 DOI: 10.1103/Physreve.86.026706 |
0.676 |
|
| 2012 |
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. 13. DOI: 10.1186/1471-2202-13-S1-P2 |
0.484 |
|
| 2011 |
Braunstein A, Kayhan F, Zecchina R. Efficient data compression from statistical physics of codes over finite fields. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 051111. PMID 22181373 DOI: 10.1103/Physreve.84.051111 |
0.582 |
|
| 2011 |
Braunstein A, Ramezanpour A, Zecchina R, Zhang P. Inference and learning in sparse systems with multiple states. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 83: 056114. PMID 21728612 DOI: 10.1103/Physreve.83.056114 |
0.58 |
|
| 2011 |
Altarelli F, Braunstein A, Ramezanpour A, Zecchina R. Stochastic matching problem. Physical Review Letters. 106: 190601. PMID 21668134 DOI: 10.1103/Physrevlett.106.190601 |
0.65 |
|
| 2011 |
Bailly-Bechet M, Borgs C, Braunstein A, Chayes J, Dagkessamanskaia A, François JM, Zecchina R. Finding undetected protein associations in cell signaling by belief propagation. Proceedings of the National Academy of Sciences of the United States of America. 108: 882-7. PMID 21187432 DOI: 10.1073/Pnas.1004751108 |
0.662 |
|
| 2011 |
Altarelli F, Braunstein A, Ramezanpour A, Zecchina R. Stochastic optimization by message passing Journal of Statistical Mechanics: Theory and Experiment. 2011. DOI: 10.1088/1742-5468/2011/11/P11009 |
0.652 |
|
| 2010 |
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. 11: 355. PMID 20587029 DOI: 10.1186/1471-2105-11-355 |
0.605 |
|
| 2010 |
Bradde S, Braunstein A, Mahmoudi H, Tria F, Weigt M, Zecchina R. Aligning graphs and finding substructures by a cavity approach Epl. 89. DOI: 10.1209/0295-5075/89/37009 |
0.619 |
|
| 2009 |
Bailly-Bechet M, Bradde S, Braunstein A, Flaxman A, Foini L, Zecchina R. Clustering with shallow trees Journal of Statistical Mechanics: Theory and Experiment. 2009: P12010. DOI: 10.1088/1742-5468/2009/12/P12010 |
0.614 |
|
| 2009 |
Altarelli F, Braunstein A, Realpe-Gomez J, Zecchina R. Statistical mechanics of budget-constrained auctions Journal of Statistical Mechanics: Theory and Experiment. 2009. DOI: 10.1088/1742-5468/2009/07/P07002 |
0.637 |
|
| 2008 |
Bayati M, Borgs C, Braunstein A, Chayes J, Ramezanpour A, Zecchina R. Statistical mechanics of steiner trees. Physical Review Letters. 101: 037208. PMID 18764290 DOI: 10.1103/Physrevlett.101.037208 |
0.662 |
|
| 2008 |
Braunstein A, Mulet R, Pagnani A. Estimating the size of the solution space of metabolic networks. Bmc Bioinformatics. 9: 240. PMID 18489757 DOI: 10.1186/1471-2105-9-240 |
0.322 |
|
| 2008 |
Braunstein A, Pagnani A, Weigt M, Zecchina R. Gene-network inference by message passing Journal of Physics: Conference Series. 95. DOI: 10.1088/1742-6596/95/1/012016 |
0.634 |
|
| 2008 |
Braunstein A, Pagnani A, Weigt M, Zecchina R. Inference algorithms for gene networks: A statistical mechanics analysis Journal of Statistical Mechanics: Theory and Experiment. 2008. DOI: 10.1088/1742-5468/2008/12/P12001 |
0.634 |
|
| 2008 |
Bayati M, Braunstein A, Zecchina R. A rigorous analysis of the cavity equations for the minimum spanning tree Journal of Mathematical Physics. 49. DOI: 10.1063/1.2982805 |
0.623 |
|
| 2007 |
Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. Proceedings of the National Academy of Sciences of the United States of America. 104: 11079-84. PMID 17581884 DOI: 10.1186/1471-2202-8-S2-S13 |
0.604 |
|
| 2007 |
Braunstein A, Kayhan F, Montorsi G, Zecchina R. Encoding for the Blackwell channel with reinforced belief propagation Ieee International Symposium On Information Theory - Proceedings. 1891-1895. DOI: 10.1109/ISIT.2007.4557497 |
0.462 |
|
| 2006 |
Braunstein A, Zecchina R. Learning by message passing in networks of discrete synapses. Physical Review Letters. 96: 030201. PMID 16486667 DOI: 10.1103/Physrevlett.96.030201 |
0.613 |
|
| 2005 |
Battaglia D, Braunstein A, Chavas J, Zecchina R. Source coding by efficient selection of ground-state clusters. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 72: 015103. PMID 16090025 DOI: 10.1103/Physreve.72.015103 |
0.671 |
|
| 2005 |
Battaglia D, Braunstein A, Chavas J, Zecchina R. Exact probing of glassy states by survey propagation Progress of Theoretical Physics Supplement. 157: 330-337. DOI: 10.1143/Ptps.157.330 |
0.688 |
|
| 2005 |
Braunstein A, Mézard M, Zecchina R. Survey propagation: An algorithm for satisfiability Random Structures and Algorithms. 27: 201-226. DOI: 10.1002/Rsa.V27:2 |
0.649 |
|
| 2004 |
Braunstein A, Zecchina R. Survey propagation as local equilibrium equations Journal of Statistical Mechanics: Theory and Experiment. DOI: 10.1088/1742-5468/2004/06/P06007 |
0.629 |
|
| 2004 |
Braunstein A, Zecchina R. Survey and Belief Propagation on random K-SAT Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2919: 519-528. |
0.488 |
|
| 2003 |
Braunstein A, Mulet R, Pagnani A, Weigt M, Zecchina R. Polynomial iterative algorithms for coloring and analyzing random graphs. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 036702. PMID 14524921 DOI: 10.1103/Physreve.68.036702 |
0.59 |
|
| 2002 |
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. 35: 7559-7574. DOI: 10.1088/0305-4470/35/35/301 |
0.641 |
|
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