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Prof. Dr. Manfred Opper

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  • Leiter der Einheit KI
  • Raum: MAR 4.017
  • Telefon: +4930 314-73749
  • E-Mail: manfred.opper <AT> tu-berlin.de

 

 


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Publikationen

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2010

MCMC for continuous time switching models

Florian Stimberg and Andreas Ruttor and Manfred Opper

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

Link zur Publikation Download Bibtex Eintrag

Learning combinatorial transcriptional dynamics from gene expression data

Manfred Opper and Guido Sanguinetti

Bioinformatics. Oxford Journals, 1623-1629. 2010

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Regret Bounds for Gaussian Process Bandit Problems

Steffen Grünewälder and Jean-Yves Audibert and Manfred Opper and John Shawe-Taylor

JMLR Workshop and Conference Proceedings, 273-280. 2010

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2009

Improving on Expectation Propagation

Manfred Opper and Ulrich Paquet and Ole Winther

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

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Approximate inference for stochastic reaction processes

Andreas Ruttor and Guido Sanguinetti and Manfred Opper

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

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Switching Regulatory Models of Cellular Stress Response

Guido Sanguinetti and Andreas Ruttor and Manfred Opper and Cedric Archambeau

Bioinformatics, 1280-1286. 2009

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Switching Regulatory Models of Cellular Stress Response

Guido Sanguinetti and Andreas Ruttor and Manfred Opper and Cédric Archambeau

Bioinformatics 2009

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The Variational Gaussian Approximation Revisited

Cédric Archambeau and Manfred Opper

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

Yuan Shen and Cédric Archambeau and Dan Cornford and Manfred Opper and John Shawe-Taylor and Remi Barillec

Journal of Signal Processing Systems 2009

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2008

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

Yuan Shen and Cédric Archambeau and Dan Cornford and Manfred Opper

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

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Variational Inference for Diffusion Processes

Cédric Archambeau and Manfred Opper and Yuan Shen and Dan Cornford and John Shawe-Taylor

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

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Variational inference for Markov jump processes

Manfred Opper and Guido Sanguinetti

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

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2007

Gaussian Process Approximations of Stochastic Differential Equations

Cédric Archambeau and Dan Cornford and Manfred Opper and John Shawe-Taylor

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

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2006

An Approximate Inference Approach for the PCA Reconstruction Error

Manfred Opper

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

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TU Berlin
Fakultät IV
Elektrotechnik und Informatik
Sekr. MAR 4-2
Marchsstrasse 23
D-10587 Berlin