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20102026
most citedDirect-coupling analysis of residue co-evolution captures native contacts across many protein families

1.6k citations

Showing 2016 · cond-mat.dis-nnShow all

6 papers · 2 filters

cond-mat.dis-nn2016★ 79 cited

Numerical estimate of the Kardar Parisi Zhang universality class in (2 + 1) dimensions

Andrea Pagnani, Giorgio Parisi

We study the Restricted Solid on Solid model for surface growth in spatial dimension by means of a multi-surface coding technique that allows to produce a large number of sam…

cond-mat.dis-nn2016★ 10 cited

One-loop diagrams in the Random Euclidean Matching Problem

Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro

The matching problem is a notorious combinatorial optimization problem that has attracted for many years the attention of the statistical physics community. Here we analyze the Euc…

cond-mat.dis-nn2016★ 5 cited

Inverse problem for multi-body interaction of nonlinear waves

Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci +2

The inverse problem is studied in multi-body systems with nonlinear dynamics representing, e.g., phase-locked wave systems, standard multimode and random lasers. Using a general mo…

cond-mat.dis-nn2016★ 10 cited

Regularization and decimation pseudolikelihood approaches to statistical inference in -spin models

Payal Tyagi, Alessia Marruzzo, Andrea Pagnani +2

We implement a pseudolikelyhood approach with l2-regularization as well as the recently introduced pseudolikelihood with decimation procedure to the inverse problem in continuous s…

cond-mat.dis-nn2016★ 24 cited

Learning may need only a few bits of synaptic precision

Carlo Baldassi, Federica Gerace, Carlo Lucibello +2

Learning in neural networks poses peculiar challenges when using discretized rather then continuous synaptic states. The choice of discrete synapses is motivated by biological reas…

cond-mat.dis-nn2016★ 20 cited

The large deviations of the whitening process in random constraint satisfaction problems

Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian +1

Random constraint satisfaction problems undergo several phase transitions as the ratio between the number of constraints and the number of variables is varied. When this ratio exce…