Publications

@inproceedings{Gondaliya2018,

title = {Learning to Categorize Bug Reports with LSTM Networks},

author = {Kaushikkumar D. Gondaliya and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/VALID2018Gondaliya.pdf, Article File},

isbn = {978-1-61208-671-2},

year  = {2018},

date = {2018-10-14},

booktitle = {Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID).},

pages = {6},

publisher = {XPS (Xpert Publishing Services)},

address = {Nice, France},

note = { October 14-18, 2018},

keywords = {Natural Language Processing, neural network, RNN},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Humanoids2017Rueckert,

title = {Learning Inverse Dynamics Models in O(n) time with LSTM networks},

author = {Elmar Rueckert and Moritz Nakatenus and Samuele Tosatto and Jan Peters},

url = {https://cps.unileoben.ac.at/wp/Humanoids2017Rueckert.pdf, Article File},

year  = {2017},

date = {2017-11-15},

booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},

crossref = {p11091},

key = {goal-robots, skills4robots},

keywords = {inverse dynamics, model learning, RNN},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tanneberg2017a,

title = {Efficient Online Adaptation with Stochastic Recurrent Neural Networks},

author = {Daniel Tanneberg and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/Humanoids2017Tanneberg.pdf, Article File},

year  = {2017},

date = {2017-11-15},

booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},

crossref = {p11092},

key = {goal-robots, skills4robots},

keywords = {intrinsic motivation, RNN, spiking},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tanneberg2017,

title = {Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals},

author = {Daniel Tanneberg and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/CoRL2017Tanneberg.pdf, Article File},

year  = {2017},

date = {2017-11-10},

booktitle = {Proceedings of the Conference on Robot Learning (CoRL)},

crossref = {p11088},

key = {goal-robots, skills4robots},

keywords = {intrinsic motivation, RNN, spiking},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{tanneberg_humanoids16,

title = {Deep Spiking Networks for Model-based Planning in Humanoids},

author = {Daniel Tanneberg and Alexandros Paraschos and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/Humanoids2016Tanneberg.pdf, Article File

https://cps.unileoben.ac.at/wp/resources/videos/humanoids_slower_540p.mp4, Supplementary Video},

year  = {2016},

date = {2016-11-16},

booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},

crossref = {p10980},

key = {codyco and tacman},

keywords = {model learning, RNN, spiking},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Gondaliya2018,

title = {Learning to Categorize Bug Reports with LSTM Networks},

author = {Kaushikkumar D. Gondaliya and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/VALID2018Gondaliya.pdf, Article File},

isbn = {978-1-61208-671-2},

year  = {2018},

date = {2018-10-14},

booktitle = {Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID).},

pages = {6},

publisher = {XPS (Xpert Publishing Services)},

address = {Nice, France},

note = { October 14-18, 2018},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Humanoids2017Rueckert,

title = {Learning Inverse Dynamics Models in O(n) time with LSTM networks},

author = {Elmar Rueckert and Moritz Nakatenus and Samuele Tosatto and Jan Peters},

url = {https://cps.unileoben.ac.at/wp/Humanoids2017Rueckert.pdf, Article File},

year  = {2017},

date = {2017-11-15},

booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},

crossref = {p11091},

key = {goal-robots, skills4robots},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tanneberg2017a,

title = {Efficient Online Adaptation with Stochastic Recurrent Neural Networks},

author = {Daniel Tanneberg and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/Humanoids2017Tanneberg.pdf, Article File},

year  = {2017},

date = {2017-11-15},

booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},

crossref = {p11092},

key = {goal-robots, skills4robots},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tanneberg2017,

title = {Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals},

author = {Daniel Tanneberg and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/CoRL2017Tanneberg.pdf, Article File},

year  = {2017},

date = {2017-11-10},

booktitle = {Proceedings of the Conference on Robot Learning (CoRL)},

crossref = {p11088},

key = {goal-robots, skills4robots},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{tanneberg_humanoids16,

title = {Deep Spiking Networks for Model-based Planning in Humanoids},

author = {Daniel Tanneberg and Alexandros Paraschos and Jan Peters and Elmar Rueckert},

url = {https://cps.unileoben.ac.at/wp/Humanoids2016Tanneberg.pdf, Article File

https://cps.unileoben.ac.at/wp/resources/videos/humanoids_slower_540p.mp4, Supplementary Video},

year  = {2016},

date = {2016-11-16},

booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},

crossref = {p10980},

key = {codyco and tacman},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}