1.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di TorinoIT83 papers
- Collegio Carlo AlbertoIT36 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT27 papers
- Sapienza University of RomeIT21 papers
- Centre National de la Recherche ScientifiqueFR19 papers
- Istituto di NanotecnologiaIT19 papers
- National Research CouncilLK16 papers
- Sorbonne UniversitéFR14 papers
- Biologie Computationnelle, Quantitative et SynthétiqueFR12 papers
- École Normale Supérieure - PSLFR10 papers
- Institut de Biologie Paris-SeineFR9 papers
- Istituto Nazionale di Fisica NucleareIT9 papers
8 papers · 1 filter
Inter-protein sequence co-evolution predicts known physical interactions in bacterial ribosomes and the trp operon
Christoph Feinauer, Hendrik Szurmant, Martin Weigt +1
Interaction between proteins is a fundamental mechanism that underlies virtually all biological processes. Many important interactions are conserved across a large variety of speci…
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…
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…
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
Alireza Alemi, Carlo Baldassi, Nicolas Brunel +1
Understanding the theoretical foundations of how memories are encoded and retrieved in neural populations is a central challenge in neuroscience. A popular theoretical scenario for…
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…
Quantitative study of crossregulation, noise and synchronization between microRNA targets in single cells
Carla Bosia, Francesco Sgrò, Laura Conti +6
Recent studies reported complex post-transcriptional interplay among targets of a common pool of microRNAs, a class of small non-coding downregulators of gene expression. Behaving…
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…
Inference for interacting linear waves in ordered and random media
P. Tyagi, A. Pagnani, F. Antenucci +2
A statistical inference method is developed and tested for pairwise interacting systems whose degrees of freedom are continuous angular variables, such as planar spins in magnetic…