Efficient online adaptation with stochastic recurrent neural networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Standard

Efficient online adaptation with stochastic recurrent neural networks. / Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar.
2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE Computer Society, 2017. p. 198-204 (IEEE-RAS International Conference on Humanoid Robots).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harvard

Tanneberg, D, Peters, J & Rueckert, E 2017, Efficient online adaptation with stochastic recurrent neural networks. in 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE-RAS International Conference on Humanoid Robots, IEEE Computer Society, pp. 198-204, 17th IEEE-RAS International Conference on Humanoid Robotics, Humanoids 2017, Birmingham, United Kingdom, 15/11/17. https://doi.org/10.1109/HUMANOIDS.2017.8246875

APA

Tanneberg, D., Peters, J., & Rueckert, E. (2017). Efficient online adaptation with stochastic recurrent neural networks. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017 (pp. 198-204). (IEEE-RAS International Conference on Humanoid Robots). IEEE Computer Society. https://doi.org/10.1109/HUMANOIDS.2017.8246875

Vancouver

Tanneberg D, Peters J, Rueckert E. Efficient online adaptation with stochastic recurrent neural networks. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE Computer Society. 2017. p. 198-204. (IEEE-RAS International Conference on Humanoid Robots). doi: 10.1109/HUMANOIDS.2017.8246875

Author

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar. / Efficient online adaptation with stochastic recurrent neural networks. 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE Computer Society, 2017. pp. 198-204 (IEEE-RAS International Conference on Humanoid Robots).

Bibtex - Download

@inproceedings{52c557b045a0418093971477c071ff86,
title = "Efficient online adaptation with stochastic recurrent neural networks",
author = "Daniel Tanneberg and Jan Peters and Elmar Rueckert",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE-RAS International Conference on Humanoid Robotics, Humanoids 2017 ; Conference date: 15-11-2017 Through 17-11-2017",
year = "2017",
month = dec,
day = "22",
doi = "10.1109/HUMANOIDS.2017.8246875",
language = "English",
series = "IEEE-RAS International Conference on Humanoid Robots",
publisher = "IEEE Computer Society",
pages = "198--204",
booktitle = "2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Efficient online adaptation with stochastic recurrent neural networks

AU - Tanneberg, Daniel

AU - Peters, Jan

AU - Rueckert, Elmar

N1 - Publisher Copyright: © 2017 IEEE.

PY - 2017/12/22

Y1 - 2017/12/22

UR - http://www.scopus.com/inward/record.url?scp=85044473427&partnerID=8YFLogxK

U2 - 10.1109/HUMANOIDS.2017.8246875

DO - 10.1109/HUMANOIDS.2017.8246875

M3 - Conference contribution

AN - SCOPUS:85044473427

T3 - IEEE-RAS International Conference on Humanoid Robots

SP - 198

EP - 204

BT - 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017

PB - IEEE Computer Society

T2 - 17th IEEE-RAS International Conference on Humanoid Robotics, Humanoids 2017

Y2 - 15 November 2017 through 17 November 2017

ER -

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