Faugeras, O. and MacLaurin, J. | Asymptotic Description of Neural Networks with Correlated Synaptic Weights | Entropy (2015) 17(7): 4701-4743 doi:10.3390/e17074701 |
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Faugeras and Maclaurin 2014a | Faugeras, O. and Maclaurin, J. | Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle | Comptes Rendus Mathematique (2014) 352(10): 841-846 doi:10.1016/j.crma.2014.08.018 |
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Faugeras and MacLaurin 2014c | Faugeras, O. and MacLaurin, J. | A Large Deviation Principle and an Expression of the Rate Function for a Discrete Stationary Gaussian Process | Entropy (2014) 16(12): 6722-6738 doi:10.3390/e16126722 |
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Faugeras and Maclaurin 2014d | Faugeras, O. and MacLaurin, J. | A Representation of the Relative Entropy with Respect to a Diffusion Process in Terms of Its Infinitesimal Generator | Entropy (2014) 16(12): 6705-6721 doi:10.3390/e16126705 |
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Faugeras and MacLaurin 2013 | Faugeras, O. and MacLaurin, J. | A large deviation principle for networks of rate neurons with correlated synaptic weights | Technical Report, INRIA, also on arXiv: http://arxiv.org/abs/1302.1029 | fulltext, BibTeX |