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List of Publications

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B

Perceptron Learning: The Largest Version Space [21]

Biehl, M. and Opper, M.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 59-72. 1995

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

The Quantum Lifetime of the Davydov Soliton [24]

Bolterauer, H. and Opper, M.

Z. Phys. B, 95–103. 1991

Download Bibtex entry [25]

Nonlinear Excitations in the Low Temperature Region of the Classical Toda Lattice [26]

Bolterauer, H. and Opper, M.

Phys. Lett. A, 69–70. 1981

Download Bibtex entry [27]

Solitons in the Statistical Mechanics of the Toda Lattice [28]

Bolterauer, H. and Opper, M.

Z. Phys. B, 155–161. 1981

Download Bibtex entry [29]

Resonant and Quasiclassical Excitations of Solitons in the Alpha- Helix [30]

Bolterauer, H., Henkel, R. D. and Opper, M.

Structure, Coherence and Chaos in Dynamical Systems. Manchester University Press, 625–631. 1986

Download Bibtex entry [31]

Z-Lernen auf diskreten Markov-Entscheidungs-Problemen mit zustandsabhängigen Aktionen [32]

Bossert, T.

2013 TU Berlin

Link to publication [33] Download Bibtex entry [34]

Extended Plefka expansion for stochastic dynamics [35]

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

Journal of Physics A: Mathematical and Theoretical, 194003. 2016

Link to publication [36] Download Bibtex entry [37]

Inferring hidden states in Langevin dynamics on large networks: Average case performance [38]

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

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

Download Bibtex entry [39]

Lösung eines Kontrollproblems mittels Gaußscher Prozesse [40]

Bronstein, L.

2009 TU Berlin

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

The Generalization Ability of Perceptrons with Continuous Outputs [43]

Bös, S., Kinzel, W. and Opper, M.

Physical Review E, 1384. 1993

Download Bibtex entry [44]

Dynamics of Training [45]

Bös, S. and Opper, M.

Advances in Neural Information Processing Systems 9. MIT Press, 141-147. 1997

Link to publication [46] Download Bibtex entry [47]

An Exact Description of Early Stopping and Weight Decay [48]

Bös, S. and Opper, M.

J. Phys. A, 4835. 1998

Download Bibtex entry [49]

C

Expectation Propagation for Approximate Inference: Free Probability Framework [50]

Cakmak, B. and Opper, M.

Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 1276-1280. 2018

Download Bibtex entry [51]

Bayes-optimal performance in a discrete space [52]

Copelli, M., Broeck, C. V. d. and Opper, M.

Journal of Physics A, L555. 1999

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

Sequential, Bayesian geostatistics: A principled method for large data sets [55]

Cornford, D., Csató, L. and Opper, M.

Geographical Analysis, 183-199. 2005

Download Bibtex entry [56]

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