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2011

Analytical Results for the Error in Filtering of Gaussian Processes

Susemihl, A., Opper, M. and Meir, R.

Advances in Neural Information Processing Systems 24. Curran Associates, Inc., 2303–2311. 2011

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Approximate inference for continuous–time Markov processes

Archambeau, C. and Opper, M.

Bayesian Time Series Models. Cambridge University Press, 125–140.. 2011

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Estimating parameters in stochastic systems: A variational Bayesian approach

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

Physica D: Nonlinear Phenomena. Elsevier, 1877-1900. 2011

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Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity

Macke, J., Opper, M. and Bethge, M.

Physical Review Letters. American Physical Society, 208102. 2011

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2010

Approximate inference for stochastic reaction processes

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

Learning and Inference in Computational Systems Biology. MIT Press, 189-205. 2010

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Approximate parameter inference in a stochastic reaction-diffusion model

Ruttor, A. and Opper, M.

Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2010. JMLR, 669-676. 2010

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Approximate inference in continuous time Gaussian-Jump processes

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

Advances in Neural Information Processing Systems 23, 1831–1839. 2010

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Comparing diffusion and weak noise approximations for inference in reaction models

Ruttor, A., Stimberg, F. and Opper, M.

Proceedings of the Fourth International Workshop on Machine Learning in Systems Biology (October 15-16, 2010, Edinburgh, UK), 149–152. 2010

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MCMC for continuous time switching models

Stimberg, F., Ruttor, A. and Opper, M.

NIPS Workshop on Monte Carlo Methods for Modern Applications (December 10, 2010, Whistler, Canada) 2010

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Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster

Opper, M., Dewar, M. A., Kadirkamanathan, V. and Sanguinetti, G.

BMC Systems Biology. BMC Systems Biology %, 669 - 676. 2010

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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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