Publikationen von T Genewein

Genewein, T.; Braun, D.: Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics 110 (2), S. 135 - 150 (2016)

Genewein, T.; Leibfried, F.; Grau-Moya, J.; Braun, D.: Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle. Frontiers in Robotics and AI 2, 27, S. 1 - 24 (2015)

Genewein, T.; Hez, E.; Razzaghpanah, Z.; Braun, D.: Structure Learning in Bayesian Sensorimotor Integration. PLoS Computational Biology 11 (8), S. 1 - 27 (2015)

Genewein, T.; Braun, D.: Occam's Razor in sensorimotor learning. Proceedings of the Royal Society of London B 281 (1783), 20132952, S. 1 - 7 (2014)

Peng, Z.; Genewein, T.; Braun, D.: Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences. Frontiers in Human Neuroscience 8, 168, S. 1 - 13 (2014)

Genewein, T.; Braun, D.: A sensorimotor paradigm for Bayesian model selection. Frontiers in Human Neuroscience 6, 291, S. 1 - 16 (2012)

Peng, Z.; Genewein, T.; Leibfried, F.; Braun, D.: An Information-Theoretic On-Line Update Principle for Perception-Action Coupling. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), S. 789 - 796. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, BC, Canada. IEEE, Piscataway, NJ, USA (2017)

Grau-Moya, J.; Leibfried, F.; Genewein, T.; Braun, D.: Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. In: Machine Learning and Knowledge Discovery in Databases, S. 475 - 491 (Hg. Frasconi, P.; Landwehr, N.; Manco, G.; Vreeken, J.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2016), Riva del Garda, Italy. Springer, Cham, Switzerland (2016)

Genewein, T.; Braun, D.: Abstraction in Decision-Makers with Limited Information Processing Capabilities. In: NIPS 2013 Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, S. 1 - 9. NIPS 2013 Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, Lake Tahoe, NV, USA. (2013)

Ortega, P.; Grau-Moya, J.; Genewein, T.; Balduzzi, D.; Braun, D.: A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. In: Advances in Neural Information Processing Systems 25, S. 3014 - 3022 (Hg. Bartlett, P.). Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, NV, USA, 03. Dezember 2012 - 06. Dezember 2012. Curran, Red Hook, NY, USA (2013)

Genewein, T.; Braun, D. A.: An information-theoretic optimality principle for the formation of abstractions. In . Seventh International Workshop on Guided Self-Organization (GSO 2014), Freiburg, Germany. (2014)

Genewein, T.: Information-theoretic bounded rationality in perception-action systems. ICRA 2016 Workshop on Task-Driven Perceptual Representations: Sensing, Planning and Control under Resource Constraints, Stockholm, Sweden (2016)

Genewein, T.: Hierarchical decision-making in perception-action systems. Cognitive Systems and Machine Learning Group: Bosch Research, Renningen, Germany (2016)

Genewein, T.: Bayesian model selection in sensorimotor tasks. University of Cambridge: Computational and Biological Learning Lab, Cambridge, UK (2013)

Peng, Z.; Genewein, T.; Braun, D.: Towards assessing randomness and complexity in human motion trajectories. 14th Conference of Junior Neuroscientists of Tübingen (NeNa 2013): Do the Results, Justify the Methods, Schramberg, Germany (2013)

Genewein, T.; Braun, D.: Occam's Razor in sensorimotor learning. Bernstein Conference 2013, Tübingen, Germany (2013)

Peng, Z.; Genewein, T.; Braun, D.: Assessing randomness in human motion trajectories. Bernstein Conference 2013, Tübingen, Germany (2013)

Genewein, T.; Braun, D.: Bayesian Occam's Razor for structure selection in human motor learning. RSS 2013 Workshop on Hierarchical and Structured Learning for Robotics, Berlin, Germany (2013)

Genewein, T.: A Sensorimotor Paradigm for Bayesian Model Selection. Tübingen International Summerschool 2012 (TISS 2012), Heiligkreuztal, Germany (2012)