| The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... Artificial Life 26 (2), 274-306, 2020 | 134 | 2020 |
| Neural modularity helps organisms evolve to learn new skills without forgetting old skills KO Ellefsen, JB Mouret, J Clune PLoS Comput Biol 11 (4), e1004128, 2015 | 104 | 2015 |
| Combining map-elites and incremental evolution to generate gaits for a mammalian quadruped robot J Nordmoen, KO Ellefsen, K Glette International Conference on the Applications of Evolutionary Computation …, 2018 | 13 | 2018 |
| Multiobjective coverage path planning: Enabling automated inspection of complex, real-world structures KO Ellefsen, HA Lepikson, JC Albiez Applied Soft Computing 61, 264-282, 2017 | 13 | 2017 |
| Evolved embodied phase coordination enables robust quadruped robot locomotion J Nordmoen, TF Nygaard, KO Ellefsen, K Glette Proceedings of the Genetic and Evolutionary Computation Conference, 133-141, 2019 | 10 | 2019 |
| Evolved sensitive periods in learning K Ellefsen Artificial Life Conference Proceedings 13, 409-416, 2013 | 10 | 2013 |
| Balancing the costs and benefits of learning ability K Ellefsen Artificial Life Conference Proceedings 13, 292-299, 2013 | 10 | 2013 |
| Planning inspection paths through evolutionary multi-objective optimization KO Ellefsen, HA Lepikson, JC Albiez Proceedings of the Genetic and Evolutionary Computation Conference 2016, 893-900, 2016 | 9 | 2016 |
| Dynamic mutation in MAP-Elites for robotic repertoire generation J Nordmoen, E Samuelsen, KO Ellefsen, K Glette Artificial Life Conference Proceedings, 598-605, 2018 | 7 | 2018 |
| How do mixture density rnns predict the future? KO Ellefsen, CP Martin, J Torresen arXiv preprint arXiv:1901.07859, 2019 | 6 | 2019 |
| Deep predictive models in interactive music CP Martin, KO Ellefsen, J Torresen arXiv preprint arXiv:1801.10492, 2018 | 6 | 2018 |
| Deep models for ensemble touch-screen improvisation CP Martin, KO Ellefsen, J Torresen Proceedings of the 12th International Audio Mostly Conference on Augmented …, 2017 | 4 | 2017 |
| The evolution of learning under environmental variability K Ellefsen Artificial Life Conference Proceedings 14, 649-656, 2014 | 4 | 2014 |
| Guiding Neuroevolution with Structural Objectives KO Ellefsen, J Huizinga, J Torresen Evolutionary Computation 28 (1), 115-140, 2020 | 2 | 2020 |
| Experiences from real-world evolution with dyret: Dynamic robot for embodied testing TF Nygaard, J Nordmoen, KO Ellefsen, CP Martin, J Tørresen, K Glette Symposium of the Norwegian AI Society, 58-68, 2019 | 2 | 2019 |
| Self-adapting Goals Allow Transfer of Predictive Models to New Tasks KO Ellefsen, J Torresen Symposium of the Norwegian AI Society, 28-39, 2019 | 1 | 2019 |
| Evolving neural networks with multiple internal models KO Ellefsen, J Tørresen Artificial Life Conference Proceedings 14, 138-145, 2017 | 1 | 2017 |
| Different regulation mechanisms for evolved critical periods in learning KO Ellefsen 2013 IEEE congress on evolutionary computation, 1193-1200, 2013 | 1 | 2013 |
| Dynamic robot scheduling using a genetic algorithm KO Ellefsen 2011 IEEE Congress of Evolutionary Computation (CEC), 2025-2032, 2011 | 1 | 2011 |
| Dynamic Scheduling for Autonomous Robotics KO Ellefsen Institutt for datateknikk og informasjonsvitenskap, 2010 | 1 | 2010 |
Jim TorresenProfessor University of OsloVerified email at ifi.uio.no
