Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.

N. Chen, J. Bayer, S. Urban, and P. van der Smagt. Humanoids, page 434-440. IEEE, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Patrick der Smagt

Patrick van Kleef

Stefaan Van der Vekens

Christian van der Steeg

Other publications of authors with the same name

Filter-Aware Model-Predictive Control.B. Kayalibay, A. Mirchev, A. Agha, P. van der Smagt, and J. Bayer. L4DC, volume 211 of Proceedings of Machine Learning Research, page 1441-1454. PMLR, (2023)Conditioning vs. excitation time for estimating impedance parameters of the human arm.D. Lakatos, F. Petit, and P. van der Smagt. Humanoids, page 636-642. IEEE, (2011)Stable reinforcement learning with autoencoders for tactile and visual data.H. van Hoof, N. Chen, M. Karl, P. van der Smagt, and J. Peters. IROS, page 3928-3934. IEEE, (2016)Model-free robot anomaly detection.R. Hornung, H. Urbanek, J. Klodmann, C. Osendorfer, and P. van der Smagt. IROS, page 3676-3683. IEEE, (2014)Multi-Source Neural Variational Inference.R. Kurle, S. Günnemann, and P. van der Smagt. AAAI, page 4114-4121. AAAI Press, (2019)Local Distance Preserving Auto-encoders using Continuous kNN Graphs.N. Chen, P. van der Smagt, and B. Cseke. TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 55-66. PMLR, (2022)Image Super-Resolution with Fast Approximate Convolutional Sparse Coding.C. Osendorfer, H. Soyer, and P. van der Smagt. ICONIP (3), volume 8836 of Lecture Notes in Computer Science, page 250-257. Springer, (2014)Cerebellar control of robot armsP. van der Smagt. Connection Science, (1998)Continual Learning with Bayesian Neural Networks for Non-Stationary Data.R. Kurle, B. Cseke, A. Klushyn, P. van der Smagt, and S. Günnemann. ICLR, OpenReview.net, (2020)The Shortcomings of Force-from-Motion in Robot Learning.E. Aljalbout, F. Frank, P. van der Smagt, and A. Paraschos. CoRR, (2024)

BibSonomy

Disambiguation of "van der Smagt, Patrick"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.

Please choose a person to relate this publication to

Patrick der Smagt

Patrick der Smagt

Patrick van Kleef

Stefaan Van der Vekens

Christian van der Steeg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "van der Smagt, Patrick"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.

Please choose a person to relate this publication to

Patrick der Smagt

Patrick der Smagt

Patrick van Kleef

Stefaan Van der Vekens

Christian van der Steeg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.