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C

Sparse On-Line Gaussian Processes

Csató, L. and Opper, M.

Neural Computation, 641 - 668. 2002

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

Cornford, D., Csató, L. and Opper, M.

Geographical Analysis, 183-199. 2005

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Bayesian Analysis of the Scatterometer Wind Retrieval inverse Problem: Some new Approaches

Cornford, D., Csató, L., Evans, D. J. and Opper, M.

Journal Royal Statistical Society B, 1–17. 2004

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Bayes-optimal performance in a discrete space

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

Journal of Physics A, L555. 1999

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Expectation Propagation for Approximate Inference: Free Probability Framework

Cakmak, B. and Opper, M.

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

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B

The Generalization Ability of Perceptrons with Continuous Outputs

Bös, S., Kinzel, W. and Opper, M.

Physical Review E, 1384. 1993

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Dynamics of Training

Bös, S. and Opper, M.

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

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Extended Plefka expansion for stochastic dynamics

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

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

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

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

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

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The Quantum Lifetime of the Davydov Soliton

Bolterauer, H. and Opper, M.

Z. Phys. B, 95–103. 1991

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Solitons in the Statistical Mechanics of the Toda Lattice

Bolterauer, H. and Opper, M.

Z. Phys. B, 155–161. 1981

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