Justin Bayer
Justin Bayer
Volkswagen AG
Verified email at volkswagen.de
TitleCited byYear
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
5352016
PyBrain
T Schaul, J Bayer, D Wierstra, Y Sun, M Felder, F Sehnke, T RĆ¼ckstieĆ, ...
Journal of Machine Learning Research 11 (Feb), 743-746, 2010
3672010
Learning stochastic recurrent networks
J Bayer, C Osendorfer
arXiv preprint arXiv:1411.7610, 2014
1182014
Deep variational bayes filters: Unsupervised learning of state space models from raw data
M Karl, M Soelch, J Bayer, P van der Smagt
arXiv preprint arXiv:1605.06432, 2016
932016
On Fast Dropout and its Applicability to Recurrent Networks
J Bayer, C Osendorfer, N Chen, P van der Smagt
preprint arXiv:1311.0701, 2013
572013
Evolving memory cell structures for sequence learning
J Bayer, D Wierstra, J Togelius, J Schmidhuber
International Conference on Artificial Neural Networks, 755-764, 2009
572009
Variational inference for on-line anomaly detection in high-dimensional time series
M Sölch, J Bayer, M Ludersdorfer, P van der Smagt
arXiv preprint arXiv:1602.07109, 2016
342016
Continuous robot control using surface electromyography of atrophic muscles
J Vogel, J Bayer, P Van Der Smagt
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
242013
Convolutional neural networks learn compact local image descriptors
C Osendorfer, J Bayer, S Urban, P Van Der Smagt
International Conference on Neural Information Processing, 624-630, 2013
242013
Efficient movement representation by embedding dynamic movement primitives in deep autoencoders
N Chen, J Bayer, S Urban, P Van Der Smagt
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
232015
Metrics for deep generative models
N Chen, A Klushyn, R Kurle, X Jiang, J Bayer, P van der Smagt
arXiv preprint arXiv:1711.01204, 2017
182017
Harm de Vries, David Warde-Farley, Dustin J
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016
182016
Estimating finger grip force from an image of the hand using convolutional neural networks and gaussian processes
N Chen, S Urban, C Osendorfer, J Bayer, P Van Der Smagt
2014 IEEE International Conference on Robotics and Automation (ICRA), 3137-3142, 2014
152014
Computing grip force and torque from finger nail images using gaussian processes
S Urban, J Bayer, C Osendorfer, G Westling, BB Edin, P Van Der Smagt
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
142013
Unsupervised real-time control through variational empowerment
M Karl, M Soelch, P Becker-Ehmck, D Benbouzid, P van der Smagt, ...
arXiv preprint arXiv:1710.05101, 2017
122017
Key insights into hand biomechanics: human grip stiffness can be decoupled from force by cocontraction and predicted from electromyography
H Höppner, M Große-Dunker, G Stillfried, J Bayer, P van der Smagt
Frontiers in neurorobotics 11, 17, 2017
92017
Training Neural Networks with Implicit Variance
J Bayer, C Osendorfer, S Urban, P van der Smagt
International Conference on Neural Information Processing Systems, 2013
82013
Learning Sequence Neighbourhood Metrics
J Bayer, C Osendorfer, P van der Smagt
ICANN 2012 - 22nd International Conference on Artificial Neural Networks …, 2012
72012
Measuring fingertip forces from camera images for random finger poses
N Chen, S Urban, J Bayer, P Van Der Smagt
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
52015
Unsupervised feature learning for low-level local image descriptors
C Osendorfer, J Bayer, S Urban, P Van Der Smagt
arXiv preprint arXiv:1301.2840, 2013
52013
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Articles 1–20