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Inferring hidden states in a random kinetic Ising model: replica analysis

Romano, L. B. and Opper, M.

Journal of Statistical Mechanics: Theory and Experiment, P06013. 2014

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Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model

Romano, L. B., Battistin, C., Opper, M. and Roudi, Y.

Journal of Physics A: Mathematical and Theoretical. IOPscience, 434003. 2016

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Approximate inference for stochastic reaction processes

Ruttor, A., Sanguinetti, G. and Opper, M.

Learning and Inference in Computational Systems Biology. The MIT Press, 189–205. 2009

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Approximate Gaussian process inference for the drift of stochastic differential equations

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

Advances in Neural Information Processing Systems, 2040-2048. 2013

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Neural cryptography with feedback

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

Phys. Rev. E, 046110. 2004

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Synchronization of random walks with reflecting boundaries

Ruttor, A., Reents, G. and Kinzel, W.

J. Phys. A: Math. Gen., 8609-8618. 2004

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