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

1.6k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2015 · cond-mat.dis-nnShow all

4 papers · 2 filters

cond-mat.dis-nn2015★ 59 cited

Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems

Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello +2

We introduce a novel Entropy-driven Monte Carlo (EdMC) strategy to efficiently sample solutions of random Constraint Satisfaction Problems (CSPs). First, we extend a recent result…

cond-mat.dis-nn2015★ 126 cited

Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses

Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello +2

We show that discrete synaptic weights can be efficiently used for learning in large scale neural systems, and lead to unanticipated computational performance. We focus on the repr…

cond-mat.dis-nn2015★ 18 cited

A Max-Sum algorithm for training discrete neural networks

Carlo Baldassi, Alfredo Braunstein

We present an efficient learning algorithm for the problem of training neural networks with discrete synapses, a well-known hard (NP-complete) discrete optimization problem. The al…

cond-mat.dis-nn2015★ 14 cited

The edge-disjoint path problem on random graphs by message-passing

Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta +2

We present a message-passing algorithm to solve the edge disjoint path problem (EDP) on graphs incorporating under a unique framework both traffic optimization and path length mini…