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List of Publications

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Genetic attack on neural cryptography [21]

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

Phys. Rev. E, 036121. 2006

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

Dynamics of neural cryptography [24]

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

Phys. Rev. E, 056104. 2007

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

Inferring hidden states in Langevin dynamics on large networks: Average case performance [27]

Bravi, B., Opper, M. and Sollich, P.

Phys. Rev. E. American Physical Society, 012122. 2017

Download Bibtex entry [28]

Inverse Ising problem in continuous time: A latent variable approach [29]

Donner, C. and Opper, M.

Phys. Rev. E. American Physical Society, 062104. 2017

Link to publication [30] Download Bibtex entry [31]

Approximate Bayes learning of stochastic differential equations [32]

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

Phys. Rev. E, 022109. 2018

Download Bibtex entry [33]

Replicators with Random Interactions- a Solvable Model [34]

Diederich, S. and Opper, M.

Phys. Rev. A (Rapid Comm.), 4333. 1989

Download Bibtex entry [35]

Learning Times of Neural Networks: Exact Solution for PERCEPTRON Algorithm [36]

Opper, M.

Phys. Rev. A (Rapid Comm.), 3824–3826. 1988

Download Bibtex entry [37]

Generalization in a two–layer network [38]

Schwarze, H., Opper, M. and Kinzel, W.

Phys. Rev. A, 6185–6188. 1992

Download Bibtex entry [39]

Tilinglike Learning in the Parity Machine [40]

Biehl, M. and Opper, M.

Phys. Rev. A, 6888–6894. 1991

Download Bibtex entry [41]

Statistical Physics Estimates for the Complexity of Feedworward Neural Networks [42]

Opper, M.

Phys. Rev E, 3613–3618. 1995

Download Bibtex entry [43]

Analytical Solution of the Classical Bethe-Ansatz Equation for the Toda Chain [44]

Opper, M.

Phys. Lett. A, 201–203. 1985

Download Bibtex entry [45]

Nonlinear Excitations in the Low Temperature Region of the Classical Toda Lattice [46]

Bolterauer, H. and Opper, M.

Phys. Lett. A, 69–70. 1981

Download Bibtex entry [47]

Online versus Offline Learning [48]

Opper, M.

Phil. Mag. B, 1531-1537. 1998

Link to publication [49] Download Bibtex entry [50]

N

A new variational radial basis function approximation for inference in multivariate diffusions [51]

Opper, M., Vrettas, M. D. and Cornford, D.

Neurocomputing. Elsevier, 1186 - 1198. 2010

Download Bibtex entry [52]

Expectation Propagation with Factorizing Distributions: A Gaussian Approximation and Performance Results for Simple Models [53]

Ribeiro, F. and Opper, M.

Neural Computation. MIT Press, 1047–1069. 2011

Download Bibtex entry [54]

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