Research Assistant

E-Mail	ed.mut.ni@frodneso
Room	Roboterhalle 0260
Phone	+49.89.289.25794
Fax	+49.89.289.18107
Address	Institut für Informatik VI Technische Universität München Boltzmannstraße 3 85748 Garching bei München Germany
Homepage	osdf.github.com

Dipl.-Inf. Christian Osendorfer

Publications

[1]	Justin Bayer, Christian Osendorfer, and Patrick van der Smagt. Learning sequence neigbourhood metrics. In International Conference on Artificial Neural Networks, 2012. [ .bib \| .pdf ]
[2]	Thomas Rückstieß, Christian Osendorfer, and Patrick van der Smagt. Minimizing data consumption in sequential classification. International Journal of Machine Learning and Cybernetics, 2012. [ DOI \| .bib \| .pdf ]
[3]	Thomas Rückstieß, Christian Osendorfer, and Patrick van der Smagt. Minimizing data consumption with sequential online feature selection. International Journal of Machine Learning and Cybernetics, 2012. [ DOI \| .bib \| .pdf ]
[4]	Justin Bayer, Christian Osendorfer, and Patrick van der Smagt. Learning sequence neigbourhood metrics. In NIPS 2011 Workshop Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity, 2011. [ .bib \| .pdf ]
[5]	Justin Bayer, Christian Osendorfer, and Patrick van der Smagt. Learning sequence neighbourhood metrics. In NIPS 2011 Workshop Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity, 2011. [ .bib \| .pdf ]
[6]	Christian Osendorfer, Jan Schlüter, Jürgen Schmidhuber, and Patrick van der Smagt. Unsupervised learning of low-level audio features for music similarity estimation. In Workshop on Learning Architectures, Representations, and Optimization for Speech and Visual Information Processing, ICML 2011, 2011. [ .bib \| .pdf ]
[7]	Thomas Rückstieß, Christian Osendorfer, and Patrick van der Smagt. Sequential feature selection for classification. In Proceedings of the Australasian Conference on Artificial Intelligence, AI 2011, 2011. [ DOI \| .bib \| .pdf ]
[8]	Jan Schlüter and Christian Osendorfer. Music similarity estimation with the mean-covariance restricted boltzmann machine. In Proceedings of the Tenth International Conference on Machine Learning and Applications (ICMLA 2011), 2011. [ DOI \| .bib \| .pdf ]
[9]	Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, and Jürgen Schmidhuber. Parameter-exploring policy gradients. Neural Networks, 23(2), 2010. [ DOI \| .bib \| .pdf ]
[10]	Frank Sehnke, Christian Osendorfer, Jan Sölter, Jürgen Schmidhuber, and Ulrich Rührmair. Policy gradients for cryptanalysis. In K. Diamantaras, W. Duch, and L. Iliadis, editors, Proceedings of the International Conference on Artificial Neural Networks, ICANN 2010. Springer-Verlag Berlin Heidelberg, 2010. [ DOI \| .bib \| .pdf ]
[11]	Frank Sehnke, Alex Graves, Christian Osendorfer, and Jürgen Schmidhuber. Multimodal parameter-exploring policy gradients. In Bob Werner, editor, Proceedings of the ninth International Conference on Machine Learning and Applications, ICMLA 2010, 2010. [ DOI \| .bib \| .pdf ]
[12]	Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, and Jürgen Schmidhuber. Policy gradients with parameter-based exploration for control. In J. Koutnik V. Kurkova, R. Neruda, editor, Proceedings of the International Conference on Artificial Neural Networks, ICANN 2008, Part I, LNCS 5163, pages 387-396. Springer-Verlag Berlin Heidelberg, 2008. [ .bib \| .pdf ]