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List of Publications

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Simulating Infinite Systems [21]

Opper, M.

Physica A, 545–551. 1993

Download Bibtex entry [22]

Exact Solution to a Toy Random Field Model [23]

Opper, M.

J. Phys. A, L719–L722. 1993

Download Bibtex entry [24]

Phase Transition and $1/f$ Noise in a Game dynamical Model [25]

Opper, M. and Diederich, S.

Phys. Rev. Lett., 1616-1619. 1992

Link to publication [26] Download Bibtex entry [27]

Physik lernender Netzwerke (physics of learning networks) [28]

Opper, M.

Physikalische Blätter, 569–574. 1992

Download Bibtex entry [29]

Generalization Performance of Bayes Optimal Prediction Algorithm for Learning a Perceptron [30]

Opper, M. and Haussler, D.

Phys. Rev. Lett., 2677–2680. 1991

Download Bibtex entry [31]

On the Ability of the Optimal Perceptron to Generalize [32]

Opper, M., Kinzel, W., Kleinz, J. and Nehl, R.

J. Phys. A, L581–L586. 1990

Download Bibtex entry [33]

Basins of Attraction near the Critical Storage Capacity for Neural Networks with Constant Stabilities [34]

Opper, M., Kleinz, J., Köhler, H. and Kinzel, W.

J. Phys. A, L407–L411. 1989

Download Bibtex entry [35]

Learning in Neural Networks: Solvable Dynamics [36]

Opper, M.

Europhys. Lett., 389–392. 1989

Download Bibtex entry [37]

Learning Times of Neural Networks: Exact Solution for PERCEPTRON Algorithm [38]

Opper, M.

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

Download Bibtex entry [39]

Solution of a random Chain Problem- an Approach using Canonical Variables of an Integrable System [40]

Opper, M.

J. Phys. A, L1073–L1077. 1986

Download Bibtex entry [41]

Analytical Solution of the Classical Bethe-Ansatz Equation for the Toda Chain [42]

Opper, M.

Phys. Lett. A, 201–203. 1985

Download Bibtex entry [43]

Improving on Expectation Propagation [44]

Opper, M., Paquet, U. and Winther, O.

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

Download Bibtex entry [45]

Variational inference for Markov jump processes [46]

Opper, M. and Sanguinetti, G.

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

Download Bibtex entry [47]

An Approximate Inference Approach for the PCA Reconstruction Error [48]

Opper, M.

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

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

Approximate Inference in Probabilistic Models [51]

Opper, M. and Winther, O.

Algorithmic Learning Theory. Springer Verlag, 494–504.. 2004

Link to publication [52] Download Bibtex entry [53]

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