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P

Genetic attack on neural cryptography

Ruttor, A., Kinzel, W., Naeh, R. and Kanter, I.

Phys. Rev. E, 036121. 2006

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Dynamics of neural cryptography

Ruttor, A., Kanter, I. and Kinzel, W.

Phys. Rev. E, 056104. 2007

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Inferring hidden states in Langevin dynamics on large networks: Average case performance

Bravi, B., Opper, M. and Sollich, P.

Phys. Rev. E. American Physical Society, 012122. 2017

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Inverse Ising problem in continuous time: A latent variable approach

Donner, C. and Opper, M.

Phys. Rev. E. American Physical Society, 062104. 2017

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Approximate Bayes learning of stochastic differential equations

Batz, P., Ruttor, A. and Opper, M.

Phys. Rev. E, 022109. 2018

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Replicators with Random Interactions- a Solvable Model

Diederich, S. and Opper, M.

Phys. Rev. A (Rapid Comm.), 4333. 1989

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Generalization in a two–layer network

Schwarze, H., Opper, M. and Kinzel, W.

Phys. Rev. A, 6185–6188. 1992

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Tilinglike Learning in the Parity Machine

Biehl, M. and Opper, M.

Phys. Rev. A, 6888–6894. 1991

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N

A new variational radial basis function approximation for inference in multivariate diffusions

Opper, M., Vrettas, M. D. and Cornford, D.

Neurocomputing. Elsevier, 1186 - 1198. 2010

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