Dr. Sebastian Urban
Dr. Sebastian Urban
surban.net
Verified email at surban.net - Homepage
Title
Cited by
Cited by
Year
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv, arXiv: 1605.02688, 2016
695*2016
On fast dropout and its applicability to recurrent networks
J Bayer, C Osendorfer, D Korhammer, N Chen, S Urban, P van der Smagt
arXiv preprint arXiv:1311.0701, 2013
652013
Optical pufs reloaded
U Rührmair, C Hilgers, S Urban, A Weiershäuser, E Dinter, B Forster, ...
Eprint. Iacr. Org, 2013
372013
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
352015
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
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
162014
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
Sensor calibration and hysteresis compensation with heteroscedastic gaussian processes
S Urban, M Ludersdorfer, P Van Der Smagt
IEEE Sensors Journal 15 (11), 6498-6506, 2015
102015
Snookie: An autonomous underwater vehicle with artificial lateral-line system
AN Vollmayr, S Sosnowski, S Urban, S Hirche, JL van Hemmen
Flow Sensing in Air and Water, 521-562, 2014
102014
Supervised spike-timing-dependent plasticity: A spatiotemporal neuronal learning rule for function approximation and decisions
JMP Franosch, S Urban, JL van Hemmen
Neural computation 25 (12), 3113-3130, 2013
92013
Revisiting Optical Physical Unclonable Functions.
U Rührmair, C Hilgers, S Urban, A Weiershäuser, E Dinter, B Forster, ...
IACR Cryptol. ePrint Arch. 2013, 215, 2013
92013
Training neural networks with implicit variance
J Bayer, C Osendorfer, S Urban, P van der Smagt
International Conference on Neural Information Processing, 132-139, 2013
82013
A neural transfer function for a smooth and differentiable transition between additive and multiplicative interactions
S Urban, P van der Smagt
arXiv preprint arXiv:1503.05724, 2015
72015
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
72015
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
72013
Neural Network Architectures and Activation Functions: A Gaussian Process Approach
S Urban
Technical University Munich, 2018
52018
climin-A pythonic framework for gradient-based function optimization
J Bayer, C Osendorfer, S Diot-Girard, T Rueckstiess, S Urban
TUM, Tech. Rep., 2015
52015
Gaussian Process Neurons Learn Stochastic Activation Functions
S Urban, M Basalla, P van der Smagt
arXiv preprint arXiv:1711.11059, 2017
22017
A Differentiable Transition Between Additive and Multiplicative Neurons
W Köpp, P van der Smagt, S Urban
arXiv preprint arXiv:1604.03736, 2016
22016
Automatic differentiation for tensor algebras
S Urban, P van der Smagt
arXiv preprint arXiv:1711.01348, 2017
12017
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