Alessandro Ingrosso

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Papers (6)

1. From statistical inference to a differential learning rule for stochastic neural networks cond-mat.dis-nn · 2018 · author #3
2. Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes stat.ML · 2016 · author #4
3. Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model q-bio.NC · 2016 · author #8
4. Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems cond-mat.dis-nn · 2015 · author #2
5. Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses cond-mat.dis-nn · 2015 · author #2
6. The zero-patient problem with noisy observations q-bio.PE · 2014 · author #4

Mentions

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Frequent Coauthors

• Riccardo Zecchina 5 shared papers
• Carlo Baldassi 4 shared papers
• Luca Saglietti 4 shared papers
• Carlo Lucibello 3 shared papers
• Christian Borgs 2 shared papers
• Jennifer Chayes 2 shared papers
• Alfredo Braunstein 1 shared papers
• Animashree Anandkumar 1 shared papers
• Ed Lein 1 shared papers
• Ernest Fraenkel 1 shared papers
• Fabrizio Altarelli 1 shared papers
• Federica Gerace 1 shared papers
• Furong Huang 1 shared papers
• Luca Dall'Asta 1 shared papers
• Michael Hawrylycz 1 shared papers
• Srinivas Turaga 1 shared papers