Technische Universität München Robotics and Embedded Systems
 

Dipl. Inf. Justin Bayer

 

Research Assistant

E-Mail bayer.justin@googlemail.com
Room Raum 0260
Phone +49.89.289.25794
Fax +49.89.289.18107
Mailing Address Institut für Informatik VI
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany
Visitor's Address Roboterhalle, Raum 0260
Technische Universität München
Arcisstraße 21
80333 München
Germany
Homepage  
 

Publications

[1] Justin Bayer, Christian Osendorfer, Daniela Korhammer, Nutan Chen, Sebastian Urban, and Patrick van der Smagt. On fast dropout and its applicability to recurrent networks. In Proc. ICLR, 2014. [ .bib | .pdf ]
[2] Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer, and Patrick van der Smagt. Estimating finger grip force from an image of the hand using convolutional neural networks and gaussian processes. In Proc. ICRA, 2014. [ .bib | .pdf ]
[3] Justin Bayer and Christian Osendorfer. Learning stochastic recurrent networks. In NIPS 2014 Workshop on Advances in Variational Inference, 2014. [ .bib | .pdf ]
[4] Justin Bayer, Christian Osendorfer, Sebastian Urban, and Patrick van der Smagt. Training neural networks with implicit variance. International Conference on Neural Information Processing Systems, 2013. [ .bib | .pdf ]
[5] Christian Osendorfer, Justin Bayer, Sebastian Urban, and Patrick van der Smagt. Unsupervised feature learning for low-level local image descriptors. arXiv preprint arXiv:1301.2840, 2013. [ .bib | .pdf ]
[6] Christian Osendorfer, Justin Bayer, Sebastian Urban, and Patrick van der Smagt. Convolutional neural networks learn compact local image descriptors. In ICONIP (2), 2013. [ .bib ]
[7] Dominic Lakatos, Daniel Röschen, Justin Bayer, Jörn Vogel, and Patrick van der Smagt. Identification of human limb stiffness in 5 dof and estimation via emg. In Jaydev P. Desai, Gregory Dudek, Oussama Khatib, and Vijay Kumar, editors, Experimental Robotics, volume 88 of Springer Tracts in Advanced Robotics, pages 89-99. Springer International Publishing, 2013. [ DOI | .bib | .pdf ]
[8] Jörn Vogel, Justin Bayer, and Patrick van der Smagt. Continuous robot control using surface electromyography of atrophic muscles. In Proc. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 845-850, 2013. [ DOI | .bib | .pdf ]
[9] Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Wesling, Benoni B. Edin, and Patrick van der Smagt. Computing grip force and torque from finger nail images using gaussian processes. In Proc. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 4034-4039, 2013. [ DOI | .bib | .pdf ]
[10] Justin Bayer, Christian Osendorfer, and Patrick van der Smagt. Learning sequence neigbourhood metrics. In International Conference on Artificial Neural Networks, 2012. [ .bib | .pdf ]
[11] 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 ]
[12] Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, and Jürgen Schmidhuber. PyBrain. Journal of Machine Learning Research, 2010. [ .bib | .pdf ]
[13] Justin Bayer, Daan Wierstra, Julian Togelius, and Jürgen Schmidhuber. Evolving cell structures for sequence learning. In Proceedings of the International Conference on Artificial Neural Networks, 2009. [ DOI | .bib | .pdf ]
[14] Justin Bayer, Daan Wierstra, Julian Togelius, and Jürgen Schmidhuber. Evolving memory cell structures for sequence learning. In Proceedings of the 19th International Conference on Artificial Neural Networks: Part II, ICANN '09, pages 755-764, Berlin, Heidelberg, 2009. Springer-Verlag. [ DOI | .bib | .pdf ]