| Electron density and plasma dynamics of a spherical theta pinch C Teske, Y Liu, S Blaes, J Jacoby Physics of plasmas 19 (3), 033505, 2012 | 23 | 2012 |
| Control what you can: Intrinsically motivated task-planning agent S Blaes, M Vlastelica Pogančić, J Zhu, G Martius Advances in Neural Information Processing Systems 32, 2019 | 19 | 2019 |
| Sample-efficient cross-entropy method for real-time planning C Pinneri, S Sawant, S Blaes, J Achterhold, J Stueckler, M Rolinek, ... arXiv preprint arXiv:2008.06389, 2020 | 18 | 2020 |
| Few-shot learning in deep networks through global prototyping S Blaes, T Burwick Neural Networks 94, 159-172, 2017 | 18 | 2017 |
| Extracting strong policies for robotics tasks from zero-order trajectory optimizers C Pinneri, S Sawant, S Blaes, G Martius International Conference on Learning Representations, 2020 | 5 | 2020 |
| Attentional bias through oscillatory coherence between excitatory activity and inhibitory minima S Blaes, T Burwick Neural Computation 27 (7), 1405-1437, 2015 | 2 | 2015 |
| Risk-Averse Zero-Order Trajectory Optimization M Vlastelica, S Blaes, C Pinneri, G Martius 5th Annual Conference on Robot Learning, 2021 | 1 | 2021 |
| Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics. M Mundt, S Blaes, T Burwick ESANN, 2016 | | 2016 |
