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Publikationsliste

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2009

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems [21]

Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J. and Barillec, R.

Journal of Signal Processing Systems 2009

Link zur Publikation [22] Download Bibtex Eintrag [23]

2008

Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions [24]

Shen, Y., Archambeau, C., Cornford, D. and Opper, M.

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

Download Bibtex Eintrag [25]

Variational Inference for Diffusion Processes [26]

Archambeau, C., Opper, M., Shen, Y., Cornford, D. and Shawe-Taylor, J.

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

Download Bibtex Eintrag [27]

Variational inference for Markov jump processes [28]

Opper, M. and Sanguinetti, G.

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

Download Bibtex Eintrag [29]

Linearly-Solvable Markov Decision Processes [30]

Uhlich, M.

2008

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

2007

Gaussian Process Approximations of Stochastic Differential Equations [33]

Archambeau, C., Cornford, D., Opper, M. and Shawe-Taylor, J.

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

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

Dynamics of neural cryptography [36]

Ruttor, A., Kanter, I. and Kinzel, W.

Phys. Rev. E, 056104. 2007

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

Neural Synchronization and Cryptography [39]

Ruttor, A.

2007 University of Wuerzburg

Link zur Publikation [40] Download Bibtex Eintrag [41]

2006

An Approximate Inference Approach for the PCA Reconstruction Error [42]

Opper, M.

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

Link zur Publikation [43] Download Bibtex Eintrag [44]

Genetic attack on neural cryptography [45]

Ruttor, A., Kinzel, W., Naeh, R. and Kanter, I.

Phys. Rev. E, 036121. 2006

Link zur Publikation [46] Download Bibtex Eintrag [47]

2005

Expectation Consistent Free Energies for Approximate Inference [48]

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 17 2005

Link zur Publikation [49] Download Bibtex Eintrag [50]

Synchronization of neural networks by mutual learning and its application to cryptography [51]

Klein, E., Mislovaty, R., Kanter, I., Ruttor, A. and Kinzel, W.

Advances in Neural Information Processing Systems. MIT Press, 689-696. 2005

Link zur Publikation [52] Download Bibtex Eintrag [53]

Neural cryptography with queries [54]

Ruttor, A., Kinzel, W. and Kanter, I.

J. Stat. Mech., P01009. 2005

Link zur Publikation [55] Download Bibtex Eintrag [56]

Sequential, Bayesian geostatistics: A principled method for large data sets [57]

Cornford, D., Csató, L. and Opper, M.

Geographical Analysis, 183-199. 2005

Download Bibtex Eintrag [58]

Expectation Consistent Approximate Inference [59]

Opper, M. and Winther, O.

Journal of Machine Learning Research, 2177 - 2204. 2005

Link zur Publikation [60] Download Bibtex Eintrag [61]

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