Training Neural Networks with Implicit Variance. - Justin Bayer; Christian Osendorfer; Sebastian Urban; Patrick van der Smagt (ICONIP (2), 2013)

Convolutional Neural Networks Learn Compact Local Image Descriptors. - Christian Osendorfer; Justin Bayer; Sebastian Urban; Patrick van der Smagt (ICONIP (3), 2013)

Computing grip force and torque from finger nail images using Gaussian processes. - Sebastian Urban; Justin Bayer; Christian Osendorfer; Göran Westling; Benoni B. Edin; Patrick van der Smagt (IROS, 2013)

Revisiting Optical Physical Unclonable Functions. - Ulrich Rührmair; Christian Hilgers; Sebastian Urban; Agnes Weiershäuser; Elias Dinter; Brigitte Forster; Christian Jirauschek (IACR Cryptol. ePrint Arch., 2013)

Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions. - Jan-Moritz P. Franosch; Sebastian Urban; J. Leo van Hemmen (Neural Comput., 2013)

Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. - Nutan Chen; Sebastian Urban; Christian Osendorfer; Justin Bayer; Patrick van der Smagt (ICRA, 2014)

On Fast Dropout and its Applicability to Recurrent Networks. - Justin Bayer; Christian Osendorfer; Nutan Chen; Sebastian Urban; Patrick van der Smagt (ICLR (Poster), 2014)

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders. - Nutan Chen; Justin Bayer; Sebastian Urban; Patrick van der Smagt (Humanoids, 2015)

Measuring fingertip forces from camera images for random finger poses. - Nutan Chen; Sebastian Urban; Justin Bayer; Patrick van der Smagt (IROS, 2015)

A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions. - Sebastian Urban; Patrick van der Smagt (CoRR, 2015)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

A Differentiable Transition Between Additive and Multiplicative Neurons. - Wiebke Köpp; Patrick van der Smagt; Sebastian Urban (CoRR, 2016)

Automatic Differentiation for Tensor Algebras. - Sebastian Urban; Patrick van der Smagt (CoRR, 2017)

Gaussian Process Neurons Learn Stochastic Activation Functions. - Sebastian Urban; Marcus Basalla; Patrick van der Smagt (CoRR, 2017)

Neural Network Architectures and Activation Functions: A Gaussian Process Approach. - Sebastian Urban (2018)

Microsensor Electrodes for 3D Inline Process Monitoring in Multiphase Microreactors. - Sebastian Urban; Vinayaganataraj Tamilselvi Sundaram; Jochen Kieninger; Gerald A. Urban; Andreas Weltin (Sensors, 2020)