Christian Osendorfer

Christian Osendorfer, Jie Tao, Carsten Trinitis, 2004, Third IEEE International Symposium on Network Computing and Applications, 2004. (NCA 2004). Proceedings..

Multimodal Parameter-exploring Policy Gradients

Frank Sehnke, Christian Osendorfer, Jürgen Schmidhuber, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Improving approximate RPCA with a k-sparsity prior pdf

Christian Osendorfer, Maximilian Karl, 2014, ArXiv.

Fast image super-resolution utilizing convolutional neural networks

Christian Osendorfer, Hubert Soyer, Hubert Soyer, 2014 .

Connectionist Models for Learning Local Image Descriptors: An empirical case study

Christian Osendorfer, 2016 .

Parameter-exploring policy gradients

Frank Sehnke, Christian Osendorfer, Jürgen Schmidhuber, 2010, Neural Networks.

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

Asha Anoosheh, Christian Osendorfer, Jonathan Masci, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Minimizing data consumption with sequential online feature selection

Christian Osendorfer, Patrick van der Smagt, Thomas Rückstieß, 2013, Int. J. Mach. Learn. Cybern..

Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes

Christian Osendorfer, Justin Bayer, Patrick van der Smagt, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Unsupervised Feature Learning for low-level Local Image Descriptors pdf

Christian Osendorfer, Justin Bayer, Patrick van der Smagt, 2013, ICLR.

Deep Iterative Surface Normal Estimation

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

No Representation without Transformation pdf

Christian Osendorfer, Jonathan Masci, Giorgio Giannone, 2019, ArXiv.

Variational inference of latent state sequences using Recurrent Networks pdf

Christian Osendorfer, Justin Bayer, Justin Bayer, 2014, ArXiv.

Minimizing Data Consumption in Sequential Classification

Christian Osendorfer, Patrick van der Smagt, Thomas Rückstiess, 2012 .

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations

Christian Osendorfer, Jonathan Masci, Faustino J. Gomez, 2018, NeurIPS.

Differentiable Iterative Surface Normal Estimation pdf

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 2019, ArXiv.

Unsupervised learning of low-level audio features for music similarity estimation

Christian Osendorfer, Jürgen Schmidhuber, Patrick van der Smagt, 2011, ICML 2011.

Computing grip force and torque from finger nail images using Gaussian processes

Christian Osendorfer, Justin Bayer, Patrick van der Smagt, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Training Neural Networks with Implicit Variance

Christian Osendorfer, Justin Bayer, Patrick van der Smagt, 2013, ICONIP.

Using tactile sensation for learning contact knowledge: Discriminate collision from physical interaction

Christian Osendorfer, Sami Haddadin, Saskia Golz, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Convolutional Neural Networks Learn Compact Local Image Descriptors

Christian Osendorfer, Justin Bayer, Patrick van der Smagt, 2013, ICONIP.

Christian Osendorfer, Jan Schlüter, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Policy Gradients with Parameter-Based Exploration for Control

Frank Sehnke, Christian Osendorfer, Jürgen Schmidhuber, 2008, ICANN.

Recurrent Neural Processes pdf

Christian Osendorfer, Jonathan Masci, Jurgen Schmidhuber, 2019, ArXiv.