Christian Osendorfer

Proceedings of the Interspeech 2022, 2022

2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Iterative Surface Normal Estimation.

[BibT_eX]

[DOI]

Jan Eric Lenssen

Jonathan Masci

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

No Representation without Transformation.

[BibT_eX]

[DOI]

Giorgio Giannone

Jonathan Masci

CoRR, 2019

Recurrent Neural Processes.

[BibT_eX]

[DOI]

CoRR, 2019

Conditional Neural Style Transfer with Peer-Regularized Feature Transform.

[BibT_eX]

[DOI]

CoRR, 2019

Differentiable Iterative Surface Normal Estimation.

[BibT_eX]

[DOI]

Jan Eric Lenssen

Jonathan Masci

CoRR, 2019

2018

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

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

[BibT_eX]

[DOI]

PhD thesis, 2016

2015

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

[BibT_eX]

[DOI]

Saskia Golz

Sami Haddadin

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Improving approximate RPCA with a k-sparsity prior.

[BibT_eX]

[DOI]

Maximilian Karl

CoRR, 2014

On Fast Dropout and its Applicability to Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning Stochastic Recurrent Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Model-free robot anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Image Super-Resolution with Fast Approximate Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Hubert Soyer

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Minimizing data consumption with sequential online feature selection.

[BibT_eX]

[DOI]

Thomas Rückstieß

Int. J. Mach. Learn. Cybern., 2013

Convolutional Neural Networks learn compact local image descriptors

[BibT_eX]

[DOI]

CoRR, 2013

Unsupervised Feature Learning for low-level Local Image Descriptors

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Convolutional Neural Networks Learn Compact Local Image Descriptors.

[BibT_eX]

[DOI]

Sebastian Urban

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Training Neural Networks with Implicit Variance.

[BibT_eX]

[DOI]

Sebastian Urban

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Learning Sequence Neighbourhood Metrics.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Jan Schlüter

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Sequential Feature Selection for Classification.

[BibT_eX]

[DOI]

Thomas Rückstieß