Georg S Martius
Lampert Group
Tkacik Group
10 Publications
2018 | Published | Conference Paper | IST-REx-ID: 6012 |

Sahoo, S., Lampert, C., & Martius, G. S. (2018). Learning equations for extrapolation and control. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 4442–4450). Stockholm, Sweden: ML Research Press.
[Preprint]
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| WoS
| arXiv
2018 | Research Data | IST-REx-ID: 5584 |

Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:98
[Published Version]
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2017 | Published | Conference Paper | IST-REx-ID: 652
Der, R., & Martius, G. S. (2017). Dynamical self consistency leads to behavioral development and emergent social interactions in robots. Presented at the ICDL EpiRob: International Conference on Development and Learning and Epigenetic Robotics , Cergy-Pontoise, France: IEEE. https://doi.org/10.1109/DEVLRN.2016.7846789
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| DOI
2017 | Published | Conference Paper | IST-REx-ID: 6841 |

Martius, G. S., & Lampert, C. (2017). Extrapolation and learning equations. In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. Toulon, France: International Conference on Learning Representations.
[Preprint]
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| arXiv
2017 | Published | Journal Article | IST-REx-ID: 658 |

Der, Ralf, Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics 11 (MAR). 2017
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2016 | Published | Conference Paper | IST-REx-ID: 1214
Martius, G. S., Hostettler, R., Knoll, A., & Der, R. (2016). Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm (Vol. 2016–November). Presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea: IEEE. https://doi.org/10.1109/IROS.2016.7759138
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| DOI
2016 | Published | Conference Paper | IST-REx-ID: 8094 |

Martius, Georg S, Self-organized control of an tendon driven arm by differential extrinsic plasticity. 15th International Conference on the Synthesis and Simulation of Living Systems 28. 2016
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2015 | Published | Journal Article | IST-REx-ID: 1655 |

Martius, G. S., & Olbrich, E. (2015). Quantifying emergent behavior of autonomous robots. Entropy. MDPI. https://doi.org/10.3390/e17107266
[Published Version]
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| Files available
| DOI
2015 | Published | Conference Paper | IST-REx-ID: 12881 |

Martius, G. S., & Olbrich, E. (2015). Quantifying self-organizing behavior of autonomous robots. In Proceedings of the 13th European Conference on Artificial Life (p. 78). York, United Kingdom: MIT Press. https://doi.org/10.7551/978-0-262-33027-5-ch018
[Published Version]
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| DOI
2015 | Published | Journal Article | IST-REx-ID: 1570 |

Der, R., & Martius, G. S. (2015). Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1508400112
[Submitted Version]
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| PubMed | Europe PMC
Grants
10 Publications
2018 | Published | Conference Paper | IST-REx-ID: 6012 |

Sahoo, S., Lampert, C., & Martius, G. S. (2018). Learning equations for extrapolation and control. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 4442–4450). Stockholm, Sweden: ML Research Press.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| WoS
| arXiv
2018 | Research Data | IST-REx-ID: 5584 |

Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:98
[Published Version]
View
| Files available
| DOI
2017 | Published | Conference Paper | IST-REx-ID: 652
Der, R., & Martius, G. S. (2017). Dynamical self consistency leads to behavioral development and emergent social interactions in robots. Presented at the ICDL EpiRob: International Conference on Development and Learning and Epigenetic Robotics , Cergy-Pontoise, France: IEEE. https://doi.org/10.1109/DEVLRN.2016.7846789
View
| DOI
2017 | Published | Conference Paper | IST-REx-ID: 6841 |

Martius, G. S., & Lampert, C. (2017). Extrapolation and learning equations. In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. Toulon, France: International Conference on Learning Representations.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2017 | Published | Journal Article | IST-REx-ID: 658 |

Der, Ralf, Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics 11 (MAR). 2017
[Published Version]
View
| Files available
| DOI
2016 | Published | Conference Paper | IST-REx-ID: 1214
Martius, G. S., Hostettler, R., Knoll, A., & Der, R. (2016). Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm (Vol. 2016–November). Presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea: IEEE. https://doi.org/10.1109/IROS.2016.7759138
View
| DOI
2016 | Published | Conference Paper | IST-REx-ID: 8094 |

Martius, Georg S, Self-organized control of an tendon driven arm by differential extrinsic plasticity. 15th International Conference on the Synthesis and Simulation of Living Systems 28. 2016
[Published Version]
View
| Files available
| DOI
2015 | Published | Journal Article | IST-REx-ID: 1655 |

Martius, G. S., & Olbrich, E. (2015). Quantifying emergent behavior of autonomous robots. Entropy. MDPI. https://doi.org/10.3390/e17107266
[Published Version]
View
| Files available
| DOI
2015 | Published | Conference Paper | IST-REx-ID: 12881 |

Martius, G. S., & Olbrich, E. (2015). Quantifying self-organizing behavior of autonomous robots. In Proceedings of the 13th European Conference on Artificial Life (p. 78). York, United Kingdom: MIT Press. https://doi.org/10.7551/978-0-262-33027-5-ch018
[Published Version]
View
| Files available
| DOI
2015 | Published | Journal Article | IST-REx-ID: 1570 |

Der, R., & Martius, G. S. (2015). Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1508400112
[Submitted Version]
View
| DOI
| Download Submitted Version (ext.)
| PubMed | Europe PMC