Justin Bayer

Publications

Export list as BibTeX file

• 2016 Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl, Maximilian Sölch, Justin Bayer and Patrick van der Smagt arxiv, ():, 2016. Details URL BIB
• 2016 Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch, Justin Bayer, Marvin Ludersdorfer and Patrick van der Smagt In International Conference on Learning Representations (ICLR), Details URL BIB
• 2015 Efficient Empowerment Maximilian Karl, Justin Bayer and Patrick van der Smagt Details URL BIB
• 2015 Efficient movement representation by embedding Dynamic Movement Primitives in Deep Autoencoders Nutan Chen, Justin Bayer, Sebastian Urban and Patrick van der Smagt In Proc. 2015 IEEE-RAS International Conference on Humanoid Robots, Details BIB
• 2015 Fast Adaptive Weight Noise Justin Bayer, Maximilian Karl, Daniela Korhammer and Patrick van der Smagt In arXiv, Details URL BIB
• 2015 Measuring Fingertip Forces from Camera Images for Random Finger Poses Nutan Chen, Sebastian Urban, Justin Bayer and Patrick van der Smagt In Proc. IEEE International Conference on Robotics and System (IROS), Details BIB
• 2014 Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian Processes N Chen, Sebastian Urban, C Osendorfer, Justin Bayer and Patrick van der Smagt In Robotics and Automation (ICRA), 2014 IEEE International Conference on, Details DOI BIB
• 2014 On Fast Dropout and its Applicability to Recurrent Networks Justin Bayer, C Osendorfer, Daniela Korhammer, N Chen, Sebastian Urban and Patrick van der Smagt In Proceedings of the International Conference on Learning Representations, Details URL BIB