Papers
2017
An Information-Theoretic On-Line Update Principle for Perception-Action Coupling
Peng Z, Genewein T, Leibfried F, Braun DA (2017). An Information-Theoretic On-Line Update Principle for Perception-Action Coupling. IROS 2017. doi: 10.1109/IROS.2017.8202240
On Detecting Adversarial Perturbations
Metzen JH, Genewein T, Fischer V, Bischoff B (2017). On Detecting Adversarial Perturbations. International Conference on Learning Representation (ICLR) 2017.
2016
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Grau-Moya J, Leibfried F, Genewein T, Braun D.A. (2016) Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. ECML PKDD 2016, Riva del Garda, Italy, Proceedings, Part II
Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations
Genewein T, Braun DA (2016). Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics. doi: 10.1007/s00422-016-0684-8
2015
Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle
Genewein T, Leibfried F, Grau-Moya J, Braun DA (2015). Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle. Front. Robot. AI 2:27. doi: 10.3389/frobt.2015.00027
Structure Learning in Bayesian Sensorimotor Integration
Genewein T, Hez E, Razzaghpanah Z, Braun DA (2015) Structure Learning in Bayesian Sensorimotor Integration. PLoS Comput Biol 11(8): e1004369. doi: 10.1371/journal.pcbi.1004369
2014
Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences
Peng Z, Genewein T, Braun DA (2014) Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences. Front. Hum. Neurosci. 8:168. doi: 10.3389/fnhum.2014.00168
Occam's Razor in sensorimotor learning
Genewein T, Braun DA (2104) Occam's Razor in sensorimotor learning. Proceedings of the Royal Societey B 281:20132952. doi: 10.1098/rspb.2013.2952
2013
Abstraction in Decision-Makers with Limited Information Processing Capabilities
Genewein T, Braun DA (2013) Abstraction in Decision-Makers with Limited Information Processing Capabilities, NIPS 2013 workshop on Planning with Information Constraints. arXiv:1312.4353
2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Ortega, P.A., Grau-Moya, J., Genewein, T., Balduzzi, D., Braun, D.A. (2012) A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. Neural Information Processing Systems (NIPS) 2012
A sensorimotor paradigm for Bayesian model selection
Genewein T, Braun DA (2012) A sensorimotor paradigm for Bayesian model selection. Frontiers in Human Neuroscience 6:291. doi: 10.3389/fnhum.2012.00291
Posters
2013
Occam's Razor in sensorimotor learning
Genewein T, Braun DA (2013) Occam's Razor in sensorimotor learning. Bernstein Conference 2013. doi: 10.12751/nncn.bc2013.0026
Bayesian Occam’s Razor for structure selection in human motor learning
Genewein T, Braun DA (2103) Bayesian Occam’s Razor for structure selection in human motor learning. RSS 2013 Workshop on Hierarchical and Structured Learning for Robotics, Berlin.
Talks
2017
Information-optimal coupling of perception and action through lossy compression
Talk at Amlab (Max Welling) / UvA-Bosch Delta Lab (Zeynep Akata) on Information-optimal coupling of perception and action through lossy compression.
2016
Decision-Making with Information Constraints
Special seminar with Jordi Grau-Moya at the GRASP lab of UPenn. Decision-Making with Information Constraints: Free Energy Foundations and Applications
Information-theoretic bounded rationality in perception-action systems
Talk at ICRA 2016 workshop on task-driven perceptual representations: sensing, planning and control under resource constraints - Information-theoretic bounded rationality in perception-action systems.
Hierarchical decision-making in perception-action systems
Talk at the Cognitive Systems and Machine Learning group, Bosch research Renningen - Hierarchical decision-making in perception-action systems.
2014
An Information-theoretic Optimality Principle for the Formation of Abstractions
Talk at seventh international GSO workshop - An Information-theoretic Optimality Principle for the Formation of Abstractions.
2013
Abstraction in Decision-Makers with Limited Information Processing Capabilities
Talk at NIPS 2013 workshop on planning with information constraints - Abstraction in Decision-Makers with Limited Information Processing Capabilities.
Bayesian model selection in sensorimotor tasks
Talk at Wolpert lab, CBL Cambridge - Bayesian model selection in sensorimotor tasks.