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List of Publications

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Balancing a pole [21]

Sobierajski, K. and Sikora, P.

2011

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

Synchronization of neural networks by mutual learning and its application to cryptography [24]

Klein, E., Mislovaty, R., Kanter, I., Ruttor, A. and Kinzel, W.

Advances in Neural Information Processing Systems. MIT Press, 689-696. 2005

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

Inference Approaches to Optimal Control [27]

Lu, J., Peng, L., Liu, S. and Liu, Y.

2011

Link to publication [28] Download Bibtex entry [29]

Learning to Ride a Light Cycle [30]

Haenicke, J.

2011

Link to publication [31] Download Bibtex entry [32]

Schlüsselaustausch mit neuronalen Netzen [33]

Ruttor, A.

2003 Universität Würzburg

Link to publication [34] Download Bibtex entry [35]

Neural Synchronization and Cryptography [36]

Ruttor, A.

2007 University of Wuerzburg

Link to publication [37] Download Bibtex entry [38]

Approximate inference for stochastic reaction processes [39]

Ruttor, A., Sanguinetti, G. and Opper, M.

Learning and Inference in Computational Systems Biology. MIT Press, 189-205. 2010

Link to publication [40] Download Bibtex entry [41]

Approximate parameter inference in a stochastic reaction-diffusion model [42]

Ruttor, A. and Opper, M.

Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2010. JMLR, 669-676. 2010

Link to publication [43] Download Bibtex entry [44]

Approximate inference in continuous time Gaussian-Jump processes [45]

Opper, M., Ruttor, A. and Sanguinetti, G.

Advances in Neural Information Processing Systems 23, 1831–1839. 2010

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

Comparing diffusion and weak noise approximations for inference in reaction models [48]

Ruttor, A., Stimberg, F. and Opper, M.

Proceedings of the Fourth International Workshop on Machine Learning in Systems Biology (October 15-16, 2010, Edinburgh, UK), 149–152. 2010

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

MCMC for continuous time switching models [51]

Stimberg, F., Ruttor, A. and Opper, M.

NIPS Workshop on Monte Carlo Methods for Modern Applications (December 10, 2010, Whistler, Canada) 2010

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

Bayesian Inference for Models of Transcriptional Regulation Using Markov Chain Monte Carlo Sampling [54]

Stimberg, F., Ruttor, A. and Opper, M.

Proceedings of the 8th International Workshop on Computational Systems Biology (WCSB). Tampere University of Technology, Tampere, Finland, 169–172. 2011

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

Inference in continuous-time change-point models [57]

Stimberg, F., Opper, M., Sanguinetti, G. and Ruttor, A.

Advances in Neural Information Processing Systems 24, 2717–2725. 2011

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

Analytical Results for the Error in Filtering of Gaussian Processes [60]

Susemihl, A., Opper, M. and Meir, R.

Advances in Neural Information Processing Systems 24. Curran Associates, Inc., 2303–2311. 2011

Link to publication [61] Download Bibtex entry [62]

Approximate inference for continuous–time Markov processes [63]

Archambeau, C. and Opper, M.

Bayesian Time Series Models. Cambridge University Press, 125–140.. 2011

Link to publication [64] Download Bibtex entry [65]

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