158 citations · 1.4k across the 32 of their papers we have counts for
5 papers · 1 filter
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…