sameAs
P1346
Protein 3D structure computed from evolutionary sequence variationDirect-coupling analysis of residue coevolution captures native contacts across many protein familiesModelling Competing Endogenous RNA NetworksPerturbation biology: inferring signaling networks in cellular systemsFast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partnersInference of sparse combinatorial-control networks from gene-expression data: a message passing approach.Genome-wide analysis identifies a functional association of Tet1 and Polycomb repressive complex 2 in mouse embryonic stem cells.Efficient data compression from statistical physics of codes over finite fields.Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neuronsA Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural NetworksEfficient supervised learning in networks with binary synapses.Simultaneous reconstruction of multiple signaling pathways via the prize-collecting steiner forest problemIntegrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environmentsUnreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.Bridging the gaps in systems biology.RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells.Learning may need only a few bits of synaptic precision.Performance of a cavity-method-based algorithm for the prize-collecting Steiner tree problem on graphs.An externally modulated, noise-driven switch for the regulation of SPI1 in Salmonella enterica serovar Typhimurium.Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.Bayesian inference of epidemics on networks via belief propagation.Cavity approach to sphere packing in Hamming space.Stochastic matching problem.Entropy landscape and non-Gibbs solutions in constraint satisfaction problems.Statistical mechanics of combinatorial auctions.Learning by message passing in networks of discrete synapses.Core percolation and onset of complexity in boolean networks.Source coding by efficient selection of ground-state clusters.Minimizing energy below the glass thresholds.Random K-satisfiability problem: from an analytic solution to an efficient algorithm.Weight space structure and internal representations: A direct approach to learning and generalization in multilayer neural networks.Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest ProblemPropagation of external regulation and asynchronous dynamics in random Boolean networksSimplest randomK-satisfiability problemDetermining computational complexity from characteristic ‘phase transitions’FROM STATISTICAL PHYSICS METHODS TO ALGORITHMSLocal entropy as a measure for sampling solutions in constraint satisfaction problemsStatistical Physics and Network Optimization ProblemsThe patient-zero problem with noisy observationsLarge deviations of cascade processes on graphs
P50
Q21090966-550C1F62-206F-4AD1-A984-33705296F221Q24627074-563F0723-99EE-4587-8F2D-4B6796DF59A0Q28534326-816C6044-B7D9-4CEF-9634-1A818EDBB397Q28537769-11DC5CA9-8DA3-4F4A-AA19-5E21C6B8DD82Q30360571-F5E8E366-B98B-463B-BD15-43A8B69CA5A7Q33619804-F900EAB6-68D1-4FC0-A8E9-A2F5BBA692A0Q33742524-58502356-DFA6-45B0-BE54-FD0B3EDD69A6Q34105412-7FC57E7F-FC8C-4C45-A628-097A0F216E39Q34945289-280A43D9-646A-4025-A187-39DC02A262C6Q35751220-323EA583-4ADC-49AC-900B-393A655C3A84Q35864950-9810BFD1-F882-41C2-AEB3-460D8C344D29Q36623072-64E5670B-6E1B-43CA-87F7-E824EEA5E8CCQ36820041-D134DBA4-762F-45DE-ACF2-E7483C129E39Q37473851-B950284C-8EFF-4978-9A02-BC739B827A16Q38204269-AF8BCB86-0A1D-46E6-8935-19C1274BB543Q41769298-6F8DAA13-CC64-4869-BA30-A66B3B9ECB68Q47420671-8CB95376-83F5-42E7-A7DB-9A2EE43C2D22Q48288944-423B5DDA-4DF2-4FFE-B115-A0E0FCA01DBDQ50044875-148FE0C8-5806-4AE5-B9A4-51BDF1C7A5EFQ50557635-36FD40C2-F801-4ECB-91BB-79D8967DE1F7Q51096955-9C368CF9-BA79-4C2E-9BCF-8EA2977AB2B0Q51391562-3EA58D8B-F5D4-4E79-B7E8-757545228803Q51558776-F21D2332-B44E-4F1A-A713-14801DBCA46DQ51877363-7E49F330-E8BA-4844-A71A-339ED643D1E5Q51931687-F0A4AF25-605F-471E-8918-1C539E4DAC25Q51949917-076F0E75-B06F-4ACD-9FFE-4F45C8BD5928Q51949952-39C056B2-D2CE-4792-B0BA-9D71165CDC76Q51966993-C1E2459B-7823-43B5-9C20-48B17D74136AQ51985064-8D3A16C0-7E7E-47FE-A87B-0009D59BE7F7Q52025002-AB0F108B-7881-4AFE-AD7E-5F99B24BF678Q52205960-B457C9F3-B6ED-4C48-881C-26D1AF2FA292Q57887564-58BA617B-CB5C-4E46-B16B-1657111A361DQ57887630-0C904A4E-C916-4501-BD3C-E9F0228AC291Q58001606-7C855246-D6D5-4F7F-97B2-C11A53A90AD1Q59066488-E95224AA-E75A-432D-8191-CFBCD5498D99Q59459916-E527B67A-A680-43AF-8EB9-A3B10717FAE3Q61444395-B9017A9C-CBA7-49CC-BB04-63983056C9F1Q61444397-8523511A-7004-45B0-B1AD-98996CFE1ACCQ61444401-7654DC7B-6DB7-4152-9FA0-4BC9D153C1AAQ61444403-0B797316-FEA1-411D-B3F7-B12FDB4CFF09
P50
description
fisico italiano
@it
italienischer Physiker
@de
natuurkundige
@nl
physicist
@en
հետազոտող
@hy
name
Riccardo Zecchina
@ast
Riccardo Zecchina
@de
Riccardo Zecchina
@en
Riccardo Zecchina
@es
Riccardo Zecchina
@it
Riccardo Zecchina
@nl
Riccardo Zecchina
@sl
type
label
Riccardo Zecchina
@ast
Riccardo Zecchina
@de
Riccardo Zecchina
@en
Riccardo Zecchina
@es
Riccardo Zecchina
@it
Riccardo Zecchina
@nl
Riccardo Zecchina
@sl
prefLabel
Riccardo Zecchina
@ast
Riccardo Zecchina
@de
Riccardo Zecchina
@en
Riccardo Zecchina
@es
Riccardo Zecchina
@it
Riccardo Zecchina
@nl
Riccardo Zecchina
@sl
P214
P227
P244
P1153
57192408913
P21
P213
0000 0004 4706 2698
P214
P227
1072083388
P2381
P244
nb2015015127
P2456
P27
P31
P4955
P496
0000-0002-1221-5207
P549
P569
1963-05-06T00:00:00Z
P735
P7859
lccn-nb2015015127