Consultancy work & Outreach: Machine Learning, Statistical mechanics
Manfred Opper- Technische Universitaet Berlin (TUB)
http://www.ki.tu-berlin.de/menue/methods_of_artificial_intelligence/parameter/en/
Key publications:
Andreas Ruttor, Manfred Opper: Approximate parameter inference in a stochastic reaction-diffusion model, Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2010, volume 9, JMLR, 669–676, Eds: Y. W. Teh, and M. Titterington, 2010
Andreas Ruttor, Guido Sanguinetti, Manfred Opper: Approximate inference for stochastic reaction processes, Learning and Inference in Computational Systems Biology, MIT Press, 189–205, Eds: Neil D. Lawrence, Mark Girolami, Magnus Rattray, and Guido Sanguinetti, 2010
Manfred Opper, Guido Sanguinetti: Variational inference for Markov jump processes, Advances in Neural Information Processing Systems 20, MIT Press, 1105–1112, Eds: J.C. Platt, D. Koller, Y. Singer, and S. Roweis, 2008
Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor: Variational Inference for Diffusion Processes, Advances in Neural Information Processing Systems 20, MIT Press, 17–24, Eds: J.C. Platt, D. Koller, Y. Singer, and S. Roweis, 2008
Cedric Archambeau, Manfred Opper: Approximate inference for continuous–time Markov processes, Bayesian Time Series Models, Cambridge University Press, 125–140., 2011
Florian Stimberg, Manfred Opper, Guido Sanguinetti, Andreas Ruttor: Inference in continuous-time change-point models, Advances in Neural Information Processing Systems 24, 2717–2725, Eds: J. Shawe-Taylor, R.S. Zemel, P. Bartlett, F.C.N. Pereira, and K.Q. Weinberger, 2011
Manfred Opper; Vrettas Michail D; Cornford Dan Opper: A new variational radial basis function approximation for inference in multivariate diffusions, Neurocomputing, Elsevier, 1186–1198, 2010
Manfred Opper, Guido Sanguinetti: Learning combinatorial transcriptional dynamics from gene expression data, Bioinformatics 26, Oxford Journals, 1623–1629, 2010
Manfred Opper; Dewar Michael A; Kadirkamanathan Visakan; Sanguinetti Guido Opper: Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster, BMC Systems Biology 4:21, BMC Systems Biology %, 669–676, 2010
Florian Stimberg, Manfred Opper, Andreas Ruttor: Bayesian Inference for Change Points in Dynamical Systems with Reusable States—a Chinese Restaurant Process Approach, Proceedings of the International Conference on Artificial Intelligence and Statistics, JMLR W&CP 22, 2012
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