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1 Aamodt, Torkil; Tørresen, Jim.
Comparing Neural Networks for Predicting Stock Markets. I: Proceedings of 18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017. Springer 2017 ISBN 978-3-319-651712. s. 363-375
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2 Brustad, Henrik.
Digital Audio Generation with Neural Networks. Universitetet i Oslo 2018 69 s.
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3 Chou, Jiader.
Terrain classification using 3D optical tactile sensor. Universitetet i Oslo 2017 105 s.
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4 Ellefsen, Kai Olav.
Automating Robot Design with Evolutionary Algorithms. Guest lecture at UFRGS related to international exchange project; 2017-04-04 - 2017-04-04
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5 Ellefsen, Kai Olav.
Evolutionary Robotics: Automatic design of robot bodies and control. Guest lecture at Senai CIMATEC connected to international exchange project; 2017-04-06 - 2017-04-06
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6 Ellefsen, Kai Olav; Lepikson, Herman; Albiez, Jan.
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. Applied Soft Computing 2017 (61) s. 264-282
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7 Ellefsen, Kai Olav; Tørresen, Jim.
Evolving neural networks with multiple internal models. The 14th European Conference on Artificial Life; 2017-09-04 - 2017-09-08
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8 Ellefsen, Kai Olav; Tørresen, Jim.
Evolving neural networks with multiple internal models. I: Proceedings of the European Conference on Artificial Life 2017. MIT Press 2017 ISBN 978-0-262-34633-7. s. 138-145
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9 Fahle, Hans Fredrik; Fahle, Hans Fredrik.
Predicting Gaits Based on Prior Experience. Universitetet i Oslo 2017 82 s.
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10 Fjeld, Matias Hermanrud.
3D Spatial Navigation in Octrees with Reinforcement Learning. Universitetet i Oslo 2018 55 s.
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11 Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim.
Prediction, Interaction, and User Behaviour. IEEE World Congress on Computational Intelligence; 2018-07-08 - 2018-07-13
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12 Glette, Kyrre.
Automatic design of bodies and behaviors for real-world robots. 2018 ICRA Workshop on Autonomous Robot Design; 2018-05-21
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13 Glette, Kyrre.
Self-teaching robots. WAI meeting; 2017-01-16
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14 Glette, Kyrre.
Self-teaching robots. Cutting Edge 2016; 2016-10-18
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15 Jensenius, Alexander Refsum; Martin, Charles Patrick; Bjerkestrand, Kari Anne Vadstensvik; Johnson, Victoria.
Stillness under Tension.
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16 Jensenius, Alexander Refsum; Martin, Charles Patrick; Bjerkestrand, Kari Anne Vadstensvik; Johnson, Victoria.
Sverm-Muscle.
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17 Martin, Charles Patrick.
Creative Prediction with Neural Networks. Maskinlæring og musikk + årsmøte Tekna Big Data; 2018-10-16 - 2018-10-16
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18 Martin, Charles Patrick.
Deep Predictive Models in Interactive Music. Applied Artificial Intelligence Seminar; 2018-03-09 - 2018-03-09
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19 Martin, Charles Patrick.
Making Social Music with MicroJam. Cutting Edge; 2017-09-26 - 2017-09-26
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20 Martin, Charles Patrick.
MicroJam. Apple iTunes Store 2018
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21 Martin, Charles Patrick.
MicroJam: A Social App for Making Music. Boost - Technology and Equality in Music; 2017-06-19 - 2017-06-21
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22 Martin, Charles Patrick.
Musical Networks: Using Recurrent Neural Networks to Model and Complement Musical Creativity. Musikkteknologidagene 2017; 2017-10-09 - 2017-10-11
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23 Martin, Charles Patrick.
Percussionist-Centred Design for Touchscreen Digital Musical Instruments. Contemporary Music Review 2017 ;Volum 36.(1-2) s. 64-85
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24 Martin, Charles Patrick.
Predictive Music Systems for Interactive Performance. MARCS Monday Meeting; 2018-07-09 - 2018-07-09
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25 Martin, Charles Patrick.
Virtuosic Interactions / Performing with a Neural iPad Band. Art & Interaction in New Media, Artist Talk Series; 2017-07-27 - 2017-07-27
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26 Martin, Charles Patrick; Ellefsen, Kai Olav; Tørresen, Jim.
Deep Models for Ensemble Touch-Screen Improvisation. I: Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences. Association for Computing Machinery (ACM) 2017 ISBN 978-1-4503-5373-1. s. -
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27 Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes Frostad; Tørresen, Jim.
Self-Awareness in a Cyber-Physical Predictive Musical Interface. Self-Awareness in Cyber-Physical Systems (SelPhys); 2018-04-23 - 2018-04-23
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28 Martin, Charles Patrick; Glette, Kyrre; Tørresen, Jim.
Creative Prediction with Neural Networks. ALife 2018: The 2018 Conference on Artificial Life; 2018-07-23 - 2018-07-27
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29 Martin, Charles Patrick; Gonzalez Sanchez, Victor Evaristo; Kelkar, Tejaswinee; Zelechowska, Agata; Berggren, Stig Johan; Hopgood, Christina; Wallace, Benedikte; Brustad, Henrik; Utne-Reitan, Bjørnar; Ellefsen, Kai Olav; Nygaard, Tønnes Frostad; Søyseth, Vegard Dønnem; Câmara, Guilherme Schmidt; Diaz, Ximena Alarcón.
Ensemble Metatone - Improvised Touchscreen Performance.
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30 Martin, Charles Patrick; Jensenius, Alexander Refsum; Tørresen, Jim.
Composing an ensemble standstill work for Myo and Bela. International Conference on New Interfaces For Musical Expression; 2018-06-03 - 2018-06-03
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31 Martin, Charles Patrick; Jensenius, Alexander Refsum; Tørresen, Jim.
Composing an ensemble standstill work for Myo and Bela. I: Proceedings of the International Conference On New Interfaces For Musical Expression. Blacksburg, VA: Virginia Tech 2018 s. 196-197
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32 Martin, Charles Patrick; Torresen, Jim.
RoboJam: A musical mixture density network for collaborative touchscreen interaction. Lecture Notes in Computer Science 2018 ;Volum 10783 LNCS. s. 161-176
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33 Martin, Charles Patrick; Tørresen, Jim.
Exploring Social Mobile Music with Tiny Touch-Screen Performances. I: Proceedings of the 14th Sound and Music Computing Conference 2017. : Aalto University 2017 ISBN 978-952-60-3729-5. s. 175-180
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34 Martin, Charles Patrick; Tørresen, Jim.
MicroJam: An App for Sharing Tiny Touch-Screen Performances. I: Proceedings of the International Conference on New Interfaces for Musical Expression. Copenhagen: Aalborg University Copenhagen 2017 s. 495-496
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35 Martin, Charles Patrick; Xambó, Anna; Visi, Federico; Morreale, Fabio; Jensenius, Alexander Refsum.
Stillness under Tension.
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36 Miseikis, Justinas; Glette, Kyrre; Elle, Ole Jakob; Tørresen, Jim.
Automatic Calibration of a Robot Manipulator and Multi 3D Camera System. I: Proc. of 2016 IEEE/SICE International Symposium on System Integration. IEEE conference proceedings 2016 ISBN 978-1-5090-3329-4. s. 735-741
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37 Miseikis, Justinas; Glette, Kyrre; Elle, Ole Jakob; Tørresen, Jim.
Multi 3D Camera Mapping for Predictive and Reflexive Robot Manipulator Trajectory Estimation. I: Proc. of 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE conference proceedings 2016 ISBN 978-1-5090-4240-1. s. -
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38 Moen, Hans Jonas Fossum; Glette, Kyrre; Nygaard, Tønnes Frostad; Johnsrud, Mette.
Fem felt der vi får en førerløs fremtid. Titan.uio.no [Internett] 2018-04-24
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39 Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Glette, Kyrre.
Combining MAP-Elites and Incremental Evolution to Generate Gaits for a Mammalian Quadruped Robot. Lecture Notes in Computer Science 2018 ;Volum 10784 LNCS. s. 719-733
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40 Nordmoen, Jørgen Halvorsen; Samuelsen, Eivind; Ellefsen, Kai Olav; Glette, Kyrre.
Dynamic mutation in MAP-Elites for robotic repertoire generation. I: The 2018 Conference on Artificial Life. MIT Press 2018 ISBN 9780262339360. s. 598-605
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41 Nygaard, Tønnes Frostad.
Presentation on Robotics: Today and the future. Invited talk at Sagene data (sagenedata.no), 29/03-17; 2017-03-29 - 2017-03-29
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42 Nygaard, Tønnes Frostad.
Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations. The Genetic and Evolutionary Computation Conference; 2018-07-15 - 2019-07-19
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43 Nygaard, Tønnes Frostad; Dormehl, Luke.
This robot taught itself how to walk and it’s as clumsy as a newborn deer. Digital Trends [Fagblad] 2018-05-23
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44 Nygaard, Tønnes Frostad; Eikenes, Åsmund H..
Robotane må tilpasse seg oss menneske. Framtida.no [Fagblad] 2017-01-29
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45 Nygaard, Tønnes Frostad; Gonzales, Robbie.
How a Flock of Drones Developed Collective Intelligence. Wired Science [Fagblad] 2018-07-18
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46 Nygaard, Tønnes Frostad; Haugnes, Gunhild.
Nå kommer robotene som lærer som et menneske. Titan [Fagblad] 2016-10-11
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47 Nygaard, Tønnes Frostad; Khattar, Shivani.
How a shape-shifting robot is learning from its mistakes. NBC news [TV] 2018-06-25
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48 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Samuelsen, Eivind; Tørresen, Jim; Glette, Kyrre.
Real-world evolution adapts robot morphology and control to hardware limitations. I: GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Digital Library 2018 ISBN 978-1-4503-5618-3. s. 125-132
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49 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. 2018 ICRA Workshop on Autonomous Robot Design; 2018-05-21
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50 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen.
Dynamic Robot for Embodied Testing, Open Source Material. Github https://github.com/dyret-robot/dyret_documentation 2018
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