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List of Publications

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O

Online versus Offline Learning [21]

Opper, M.

Phil. Mag. B, 1531-1537. 1998

Link to publication [22] Download Bibtex entry [23]

Convexity, Internal Representations and the Statistical Mechanics of Neural Networks [24]

Opper, M., Mietzner, A. and Kuhlmann, P.

Europhys. Lett., 31-36. 1997

Link to publication [25] Download Bibtex entry [26]

Online versus Offline Learning from Random Examples: General Results [27]

Opper, M.

Phys. Rev. Lett., 4671-4674. 1996

Link to publication [28] Download Bibtex entry [29]

A mean field approach to Bayes learning in feed–forward neural networks [30]

Opper, M. and Winther, O.

Phys. Rev. Lett., 1964-1967. 1996

Link to publication [31] Download Bibtex entry [32]

R

Structural inference in gene regulatory networks [33]

Ralinovski, K.

2013

Link to publication [34] Download Bibtex entry [35]

Expectation Propagation with Factorizing Distributions: A Gaussian Approximation and Performance Results for Simple Models [36]

Ribeiro, F. and Opper, M.

Neural Computation. MIT Press, 1047–1069. 2011

Download Bibtex entry [37]

Inferring hidden states in a random kinetic Ising model: replica analysis [38]

Romano, L. B. and Opper, M.

Journal of Statistical Mechanics: Theory and Experiment, P06013. 2014

Download Bibtex entry [39]

Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model [40]

Romano, L. B., Battistin, C., Opper, M. and Roudi, Y.

Journal of Physics A: Mathematical and Theoretical. IOPscience, 434003. 2016

Link to publication [41] Download Bibtex entry [42]

Plastic State Machines: From Neuroscience to Machine Learning [43]

Rost, T.

2014

Link to publication [44] Download Bibtex entry [45]

Approximate inference for stochastic reaction processes [46]

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

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

Link to publication [47] Download Bibtex entry [48]

Approximate Gaussian process inference for the drift of stochastic differential equations - Supplementary material [49]

Ruttor, A., Batz, P. and Opper, M.

2013

Link to publication [50] Download Bibtex entry [51]

Approximate Gaussian process inference for the drift of stochastic differential equations [52]

Ruttor, A., Batz, P. and Opper, M.

Advances in Neural Information Processing Systems, 2040-2048. 2013

Link to publication [53] Download Bibtex entry [54]

Neural cryptography with feedback [55]

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

Phys. Rev. E, 046110. 2004

Link to publication [56] Download Bibtex entry [57]

Synchronization of random walks with reflecting boundaries [58]

Ruttor, A., Reents, G. and Kinzel, W.

J. Phys. A: Math. Gen., 8609-8618. 2004

Link to publication [59] Download Bibtex entry [60]

Schlüsselaustausch mit neuronalen Netzen [61]

Ruttor, A.

2003 Universität Würzburg

Link to publication [62] Download Bibtex entry [63]

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