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List of Publications

2009

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J. and Barillec, R.

Journal of Signal Processing Systems 2009

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2008

Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions

Shen, Y., Archambeau, C., Cornford, D. and Opper, M.

Proceedings of the Workshop Inference and Estimation in Probabilistic Time-Series Models, 67-78. 2008

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Variational Inference for Diffusion Processes

Archambeau, C., Opper, M., Shen, Y., Cornford, D. and Shawe-Taylor, J.

Advances in Neural Information Processing Systems 20. MIT Press, 17–24. 2008

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Variational inference for Markov jump processes

Opper, M. and Sanguinetti, G.

Advances in Neural Information Processing Systems 20. MIT Press, 1105–1112. 2008

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2007

Gaussian Process Approximations of Stochastic Differential Equations

Archambeau, C., Cornford, D., Opper, M. and Shawe-Taylor, J.

Journal of Machine Learning Research: Workshop and Conference Proceedings, 1:1–16. 2007

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Dynamics of neural cryptography

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

Phys. Rev. E, 056104. 2007

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2006

An Approximate Inference Approach for the PCA Reconstruction Error

Opper, M.

Advances in Neural Information Processing Systems 18. MIT Press. 2006

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Genetic attack on neural cryptography

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

Phys. Rev. E, 036121. 2006

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2005

Expectation Consistent Free Energies for Approximate Inference

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 17 2005

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Synchronization of neural networks by mutual learning and its application to cryptography

Klein, E., Mislovaty, R., Kanter, I., Ruttor, A. and Kinzel, W.

Advances in Neural Information Processing Systems. MIT Press, 689-696. 2005

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Neural cryptography with queries

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

J. Stat. Mech., P01009. 2005

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Sequential, Bayesian geostatistics: A principled method for large data sets

Cornford, D., Csató, L. and Opper, M.

Geographical Analysis, 183-199. 2005

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Expectation Consistent Approximate Inference

Opper, M. and Winther, O.

Journal of Machine Learning Research, 2177 - 2204. 2005

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