# Browse by Aston Author

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**16**.

## Article

Neirotti, Juan
(2021).
Strategies for an Efficient Official Publicity Campaign.
*Journal of Statistical Physics*
,

Neirotti, Juan
(2018).
Anisotropic opinion dynamics with an adaptive social rule.
*Physical Review E*, 98
(5),

Neirotti, Juan
(2017).
Consensus formation times in anisotropic societies.
*Physical Review E*, 95
(6),

Neirotti, Juan
(2016).
Anisotropic opinion dynamics.
*Physical Review E*, 94
(1),

Alamino, Roberto C., Neirotti, Juan P. and Saad, David
(2014).
Compression by replication.
*Physical Review E*, 89
(3),

Neirotti, J.P.
(2014).
Storage capacity of ultrametric committee machines.
*Journal of Physics A: Mathematical and Theoretical*, 47
(6),

C. Alamino, Roberto, P. Neirotti, Juan and Saad, David
(2013).
Replication-based inference algorithms for hard computational problems.
*Physical Review E*, 88
(1),

Neirotti, Juan
(2012).
Learning in ultrametric committee machines.
*Journal of Statistical Physics*, 149
(5),
pp. 887-897.

Joó, A.M., Ekárt, Aniko and Neirotti, Juan P.
(2012).
Genetic algorithms for discovery of matrix multiplication methods.
*IEEE Transactions on Evolutionary Computation*, 16
(5),
pp. 749-751.

Neirotti, Juan P. and Franco, L. Alberto
(2010).
Computational capabilities of multilayer committee machines.
*Journal of Physics A: Mathematical and Theoretical*, 43
(44),
p. 445103.

Neirotti, Juan P.
(2010).
Parallel strategy for optimal learning in perceptrons.
*Journal of Physics A: Mathematical and Theoretical*, 43
(12),
p. 125101.

Neirotti, Juan P.
(2010).
Can a student learn optimally from two different teachers.
*Journal of Physics A: Mathematical and Theoretical*, 43
(1),
015101.

Neirotti, Juan P. and Saad, David
(2007).
Inference by replication in densely connected systems.
*Physical Review E*, 76
(4),

Neirotti, Juan P. and Saad, David
(2006).
Efficient Bayesian inference for learning in the Ising linear perceptron and signal detection in CDMA.
*Physica A*, 365
(1),
pp. 203-210.

Neirotti, Juan P. and Saad, David
(2005).
Improved message passing for inference in densely connected systems.
*Europhysics Letters*, 71
(5),
pp. 866-872.

## Conference or Workshop Item

Neirotti, Juan. P. and Saad, David
(2005).
Bayesian inference in densely connected networks applied to CDMA.
IN: *European Conference on Complex Systems 2005*. 2005-11-14 - 2005-11-18.

**Sat May 15 02:42:06 2021 BST**.