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List of Publications

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Statistical Mechanics of Learning: Generalization [21]

Opper, M.

The Handbook of Brain Theory and Neural Networks, (1st edition). MIT Press, 922-925. 1995

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

Dynamics of Learning [24]

Kinzel, W. and Opper, M.

Physics of Neural Networks. Springer Verlag, 149–171. 1991

Download Bibtex entry [25]

Pattern Recognition [26]

Opper, M.

Computersimulations in Physics, 20. IFF- Summer School KFA Juelich, 29.1–29.12. 1989

Download Bibtex entry [27]

Learning Rules and Learning Times in Neural Networks [28]

Opper, M.

Dynamics of Networks. Akademie Verlag Berlin, 66-75. 1989

Download Bibtex entry [29]

Statistical Mechanics of Learning in Neural Network Models [30]

Opper, M., Diederich, S. and Anlauf, J. K.

Chaos and Complexity. World Scientific, 219–223. 1987

Download Bibtex entry [31]

Wie stehe ich zur Philosophie, und was erwarte ich von ihr? (What are my views on philosophy and what do I expect from it? [32]

Opper, M.

Wege zur Philosophie (paths to philosophy). Schwabe & Co. AG, 52–56. 1980

Download Bibtex entry [33]

Gaussian Process Approximations of Stochastic Differential Equations [34]

Archambeau, C., Cornford, D., Opper, M. and Shawe-Taylor, J.

Journal of Machine Learning Research: Workshop and Conference Proceedings, 1:1–16. 2007

Link to publication [35] Download Bibtex entry [36]

Expectation Consistent Free Energies for Approximate Inference [37]

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 17 2005

Link to publication [38] Download Bibtex entry [39]

Approximate Analytical Bootstrap Averages for Support Vector Classifiers [40]

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 16. MIT Press. 2004

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

Variational Linear Response [43]

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 16. MIT Press. 2004

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

A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages [46]

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 15. MIT Press, 327-334. 2003

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

Sparse Gaussian processes: inference,subspace identification and model selection [49]

Csató, L. and Opper, M.

Proceedings of SYSID 2003, 1 - 6. 2003

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

Data Assimilation with Sequential Gaussian Processes [52]

Csató, L., Cornford, D. and Opper, M.

Uncertainty in geometrical computation, published by: Kluwer. Kluwer, 29-40. 2002

Download Bibtex entry [53]

Approximate Gaussian process inference for the drift of stochastic differential equations - Supplementary material [54]

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

2013

Link to publication [55] Download Bibtex entry [56]

Asymptotic Universality for Learning Curves of Support Vector Machines [57]

Opper, M. and Urbanczik, R.

Advances in Neural Information Processing Systems 14. MIT Press, 479-486. 2002

Link to publication [58] Download Bibtex entry [59]

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