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2012

2013

Dynamic state estimation based on Poisson spike trains—towards a theory of optimal encoding

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

Journal of Statistical Mechanics: Theory and Experiment, P03009. 2013

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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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Approximate inference in latent Gaussian-Markov models from continuous time observations

Cseke, B., Opper, M. and Sanguinetti, G.

Advances in Neural Information Processing Systems, 971–979. 2013

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Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models

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

Journal of Machine Learning Research, 2857-2898. 2013

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