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10/18/2022
Inference in conditioned dynamics through causality restoration
Computing observables from conditioned dynamics is typically computation...
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09/23/2022
The cavity method: from exact solutions to algorithms
The goal of this chapter is to review the main ideas that underlie the c...
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07/01/2022
The closest vector problem and the zero-temperature p-spin landscape for lossy compression
We consider a high-dimensional random constrained optimization problem i...
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11/05/2021
Epidemic inference through generative neural networks
Reconstructing missing information in epidemic spreading on contact netw...
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09/20/2020
Expectation propagation for the diluted Bayesian classifier
Efficient feature selection from high-dimensional datasets is a very imp...
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09/20/2020
Epidemic mitigation by statistical inference from contact tracing data
Contact-tracing is an essential tool in order to mitigate the impact of ...
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04/10/2019
Compressed sensing reconstruction using Expectation Propagation
Many interesting problems in fields ranging from telecommunications to c...
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10/24/2018
Loop corrections in spin models through density consistency
Computing marginal distributions of discrete or semi-discrete Markov Ran...
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12/19/2017
The cavity approach for Steiner trees Packing problems
The Belief Propagation approximation, or cavity method, has been recentl...
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05/20/2015