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TU Berlin

Inhalt des Dokuments

Prof. Dr. Manfred Opper

Lupe [1]
  • Leiter der Einheit KI
  • Raum: MAR 4.017
  • Telefon: +4930 314-73749
  • E-Mail: manfred.opper <AT> tu-berlin.de

 

 


Sprechstunde nach Vereinbarung

  • Forschungsgebiete [2]
  • Publikationen [3]
  • Lebenslauf [4]

Publikationen

<< zurück [5]
vor >> [17]

2010

MCMC for continuous time switching models [21]

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 [22] Download Bibtex Eintrag [23]

Learning combinatorial transcriptional dynamics from gene expression data [24]

Manfred Opper and Guido Sanguinetti

Bioinformatics. Oxford Journals, 1623-1629. 2010

Download Bibtex Eintrag [25]

Regret Bounds for Gaussian Process Bandit Problems [26]

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

JMLR Workshop and Conference Proceedings, 273-280. 2010

Download Bibtex Eintrag [27]

2009

Improving on Expectation Propagation [28]

Manfred Opper and Ulrich Paquet and Ole Winther

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

Download Bibtex Eintrag [29]

Approximate inference for stochastic reaction processes [30]

Andreas Ruttor and Guido Sanguinetti and Manfred Opper

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

Link zur Publikation [31] Download Bibtex Eintrag [32]

Efficient Statistical Inference for Stochastic Reaction Processes [33]

Andreas Ruttor and Manfred Opper

Phys. Rev. Lett., 230601. 2009

Link zur Publikation [34] Download Bibtex Eintrag [35]

Switching Regulatory Models of Cellular Stress Response [36]

Guido Sanguinetti and Andreas Ruttor and Manfred Opper and Cedric Archambeau

Bioinformatics, 1280-1286. 2009

Link zur Publikation [37] Download Bibtex Eintrag [38]

Switching Regulatory Models of Cellular Stress Response [39]

Guido Sanguinetti and Andreas Ruttor and Manfred Opper and Cédric Archambeau

Bioinformatics 2009

Download Bibtex Eintrag [40]

The Variational Gaussian Approximation Revisited [41]

Cédric Archambeau and Manfred Opper

Neural Computation, 786-92. 2009

Download Bibtex Eintrag [42]

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems [43]

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

Journal of Signal Processing Systems 2009

Link zur Publikation [44] Download Bibtex Eintrag [45]

2008

Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions [46]

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

Download Bibtex Eintrag [47]

Variational Inference for Diffusion Processes [48]

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

Download Bibtex Eintrag [49]

Variational inference for Markov jump processes [50]

Manfred Opper and Guido Sanguinetti

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

Download Bibtex Eintrag [51]

2007

Gaussian Process Approximations of Stochastic Differential Equations [52]

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

Link zur Publikation [53] Download Bibtex Eintrag [54]

2006

An Approximate Inference Approach for the PCA Reconstruction Error [55]

Manfred Opper

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

Link zur Publikation [56] Download Bibtex Eintrag [57]

<< zurück [58]
vor >> [70]

Postadresse

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