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Publikationsliste

2008


2009

Improving on Expectation Propagation

Opper, M., Paquet, U. and Winther, O.

Advances in Neural Information Processing Systems 21. MIT Press. 2009

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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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Switching Regulatory Models of Cellular Stress Response

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

Bioinformatics, 1280-1286. 2009

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Switching Regulatory Models of Cellular Stress Response

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

Bioinformatics 2009

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The Variational Gaussian Approximation Revisited

Archambeau, C. and Opper, M.

Neural Computation, 786-92. 2009

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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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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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