| Texture synthesis with spatial generative adversarial networks N Jetchev, U Bergmann, R Vollgraf arXiv preprint arXiv:1611.08207, 2016 | 147 | 2016 |
| Learning texture manifolds with the periodic spatial GAN U Bergmann, N Jetchev, R Vollgraf arXiv preprint arXiv:1705.06566, 2017 | 113 | 2017 |
| The conditional analogy gan: Swapping fashion articles on people images N Jetchev, U Bergmann Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 112 | 2017 |
| Fast motion planning from experience: trajectory prediction for speeding up movement generation N Jetchev, M Toussaint Autonomous Robots 34 (1), 111-127, 2013 | 83 | 2013 |
| Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference M Toussaint, N Plath, T Lang, N Jetchev 2010 IEEE International Conference on Robotics and Automation, 385-391, 2010 | 70 | 2010 |
| Trajectory prediction: learning to map situations to robot trajectories N Jetchev, M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009 | 53 | 2009 |
| Trajectory prediction in cluttered voxel environments N Jetchev, M Toussaint 2010 IEEE International Conference on Robotics and Automation, 2523-2528, 2010 | 40 | 2010 |
| Learning grounded relational symbols from continuous data for abstract reasoning N Jetchev, T Lang, M Toussaint | 31 | 2013 |
| Task space retrieval using inverse feedback control N Jetchev, M Toussaint ICML, 2011 | 31 | 2011 |
| Generating high-resolution fashion model images wearing custom outfits G Yildirim, N Jetchev, R Vollgraf, U Bergmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 30 | 2019 |
| Optimization of fluent approach and grasp motions M Gienger, M Toussaint, N Jetchev, A Bendig, C Goerick Humanoids 2008-8th IEEE-RAS International Conference on Humanoid Robots, 111-117, 2008 | 25 | 2008 |
| Optimizing motion primitives to make symbolic models more predictive A Orthey, M Toussaint, N Jetchev 2013 IEEE International Conference on Robotics and Automation, 2868-2873, 2013 | 10 | 2013 |
| Hybrid genetic algorithm within branch-and-cut for the minimum graph bisection problem M Armbruster, M Fügenschuh, C Helmberg, N Jetchev, A Martin European Conference on Evolutionary Computation in Combinatorial …, 2006 | 10 | 2006 |
| GANosaic: Mosaic creation with generative texture manifolds N Jetchev, U Bergmann, C Seward arXiv preprint arXiv:1712.00269, 2017 | 8 | 2017 |
| Discovering relevant task spaces using inverse feedback control N Jetchev, M Toussaint Autonomous Robots 37 (2), 169-189, 2014 | 8 | 2014 |
| First order generative adversarial networks C Seward, T Unterthiner, U Bergmann, N Jetchev, S Hochreiter International Conference on Machine Learning, 4567-4576, 2018 | 6 | 2018 |
| Texture synthesis with spatial generative adversarial networks (2016) N Jetchev, U Bergmann, R Vollgraf arXiv preprint arXiv:1611.08207, 0 | 5 | |
| Transform the set: Memory attentive generation of guided and unguided image collages N Jetchev, U Bergmann, G Yildirim arXiv preprint arXiv:1910.07236, 2019 | 4 | 2019 |
| Learning representations from motion trajectories: Analysis and applications to robot planning and control NN Jetchev | 4 | 2012 |
| LP-based genetic algorithm for the minimum graph bisection problem M Armbruster, M Fügenschuh, C Helmberg, N Jetchev, A Martin Operations Research Proceedings 2005, 315-320, 2006 | 4 | 2006 |
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
