Tim Genewein
Title
Cited by
Cited by
Year
On detecting adversarial perturbations
JH Metzen, T Genewein, V Fischer, B Bischoff
ICLR 2017, arXiv preprint arXiv:1702.04267, 2017
6782017
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
2642018
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
812015
Variational Network Quantization
J Achterhold, JM Koehler, A Schmeink, T Genewein
ICLR 2018, International Conference on Learning Representations, 1-18, 2018
582018
Sinkhorn autoencoders
G Patrini, R van den Berg, P Forre, M Carioni, S Bhargav, M Welling, ...
Uncertainty in Artificial Intelligence, 733-743, 2020
432020
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
342019
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
312016
Probabilistic binary neural networks
JWT Peters, M Welling
arXiv preprint arXiv:1809.03368, 2018
222018
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
152014
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
142017
A sensorimotor paradigm for Bayesian model selection
T Genewein, DA Braun
Frontiers in human neuroscience 6, 291, 2012
142012
Structure learning in Bayesian sensorimotor integration
T Genewein, E Hez, Z Razzaghpanah, DA Braun
PLoS computational biology 11 (8), e1004369, 2015
132015
Occam's Razor in sensorimotor learning
T Genewein, DA Braun
Proceedings of the Royal Society B: Biological Sciences 281 (1783), 20132952, 2014
122014
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
52020
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
42019
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
42013
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
32020
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
32016
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
22021
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
22012
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Articles 1–20