Justin Bayer

Publications

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• 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), 2016. Details URL BIB
• 2015 Efficient Empowerment Maximilian Karl , Justin Bayer and Patrick van der Smagt 2015. 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, 2015. Details BIB
• 2015 Fast Adaptive Weight Noise Justin Bayer , Maximilian Karl , Daniela Korhammer and Patrick van der Smagt In arXiv, 2015. 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), 2015. 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, 2014. 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, 2014. Details URL BIB