Tim Genewein
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On detecting adversarial perturbations
JH Metzen, T Genewein, V Fischer, B Bischoff
ICLR 2017, arXiv preprint arXiv:1702.04267, 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
Variational Network Quantization
J Achterhold, JM Koehler, A Schmeink, T Genewein
ICLR 2018, International Conference on Learning Representations, 1-18, 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
Sinkhorn autoencoders
G Patrini, R Van den Berg, P Forre, M Carioni, S Bhargav, M Welling, ...
Uncertainty in Artificial Intelligence, 733-743, 2020
Neural networks and the chomsky hierarchy
G Delétang, A Ruoss, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ...
arXiv preprint arXiv:2207.02098, 2022
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
Language modeling is compression
G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ...
arXiv preprint arXiv:2309.10668, 2023
Probabilistic binary neural networks
JWT Peters, M Welling
arXiv preprint arXiv:1809.03368, 2018
Randomized positional encodings boost length generalization of transformers
A Ruoss, G Delétang, T Genewein, J Grau-Moya, R Csordás, M Bennani, ...
arXiv preprint arXiv:2305.16843, 2023
Shaking the foundations: delusions in sequence models for interaction and control
PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ...
arXiv preprint arXiv:2110.10819, 2021
Meta-trained agents implement bayes-optimal agents
V Mikulik, G Delétang, T McGrath, T Genewein, M Martic, S Legg, ...
Advances in neural information processing systems 33, 18691-18703, 2020
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
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
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
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
Occam's Razor in sensorimotor learning
T Genewein, DA Braun
Proceedings of the Royal Society B: Biological Sciences 281 (1783), 20132952, 2014
Structure learning in Bayesian sensorimotor integration
T Genewein, E Hez, Z Razzaghpanah, DA Braun
PLoS computational biology 11 (8), e1004369, 2015
A sensorimotor paradigm for Bayesian model selection
T Genewein, DA Braun
Frontiers in human neuroscience 6, 291, 2012
Model-free risk-sensitive reinforcement learning
G Delétang, J Grau-Moya, M Kunesch, T Genewein, R Brekelmans, ...
arXiv preprint arXiv:2111.02907, 2021
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