| On detecting adversarial perturbations JH Metzen, T Genewein, V Fischer, B Bischoff ICLR 2017, arXiv preprint arXiv:1702.04267, 2017 | 678 | 2017 |
| The power of ensembles for active learning in image classification WH Beluch, T Genewein, A Nürnberger, JM Köhler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 264 | 2018 |
| Bounded rationality, abstraction, and hierarchical decision-making: An information-theoretic optimality principle T Genewein, F Leibfried, J Grau-Moya, DA Braun Frontiers in Robotics and AI 2, 27, 2015 | 81 | 2015 |
| Variational Network Quantization J Achterhold, JM Koehler, A Schmeink, T Genewein ICLR 2018, International Conference on Learning Representations, 1-18, 2018 | 58 | 2018 |
| Sinkhorn autoencoders G Patrini, R van den Berg, P Forre, M Carioni, S Bhargav, M Welling, ... Uncertainty in Artificial Intelligence, 733-743, 2020 | 43 | 2020 |
| Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019 | 34 | 2019 |
| Planning with information-processing constraints and model uncertainty in Markov decision processes J Grau-Moya, F Leibfried, T Genewein, DA Braun ECML 2016, Joint European Conference on Machine Learning and Knowledge …, 2016 | 31 | 2016 |
| Probabilistic binary neural networks JWT Peters, M Welling arXiv preprint arXiv:1809.03368, 2018 | 22 | 2018 |
| Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences Z Peng, T Genewein, DA Braun Frontiers in human neuroscience 8, 168, 2014 | 15 | 2014 |
| An information-theoretic on-line update principle for perception-action coupling Z Peng, T Genewein, F Leibfried, DA Braun 2017 IEEE/RSJ International Conference on intelligent robots and systems …, 2017 | 14 | 2017 |
| A sensorimotor paradigm for Bayesian model selection T Genewein, DA Braun Frontiers in human neuroscience 6, 291, 2012 | 14 | 2012 |
| Structure learning in Bayesian sensorimotor integration T Genewein, E Hez, Z Razzaghpanah, DA Braun PLoS computational biology 11 (8), e1004369, 2015 | 13 | 2015 |
| Occam's Razor in sensorimotor learning T Genewein, DA Braun Proceedings of the Royal Society B: Biological Sciences 281 (1783), 20132952, 2014 | 12 | 2014 |
| Algorithms for causal reasoning in probability trees T Genewein, T McGrath, G Delétang, V Mikulik, M Martic, S Legg, ... arXiv preprint arXiv:2010.12237, 2020 | 5 | 2020 |
| Group Pruning Using a Bounded- Norm for Group Gating and Regularization CK Mummadi, T Genewein, D Zhang, T Brox, V Fischer German Conference on Pattern Recognition, 139-155, 2019 | 4 | 2019 |
| Abstraction in decision-makers with limited information processing capabilities T Genewein, DA Braun arXiv preprint arXiv:1312.4353, NIPS 2013 Workshop on Planning with …, 2013 | 4 | 2013 |
| Meta-trained agents implement Bayes-optimal agents V Mikulik, G Delétang, T McGrath, T Genewein, M Martic, S Legg, ... arXiv preprint arXiv:2010.11223, 2020 | 3 | 2020 |
| Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations T Genewein, DA Braun Biological cybernetics 110 (2), 135-150, 2016 | 3 | 2016 |
| Causal Analysis of Agent Behavior for AI Safety G Déletang, J Grau-Moya, M Martic, T Genewein, T McGrath, V Mikulik, ... arXiv preprint arXiv:2103.03938, 2021 | 2 | 2021 |
| A nonparametric conjugate prior distribution for the maximizing argument of a noisy function PA Ortega, J Grau-Moya, T Genewein, D Balduzzi, DA Braun arXiv preprint arXiv:1206.1898, 2012 | 2 | 2012 |
Daniel Alexander BraunProfessor, Ulm UniversityVerified email at uni-ulm.de
