Paper presented @ IROS 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.
Welcome
I am a research scientist at DeepMind, working on AI safety. Prior to that I worked in the Deep Learning Perception group at the Bosch Center for Artificial Intelligence on Bayesian deep learning and neural network compression. I did my PhD at the Sensorimotor Learning and Decision-Making research group lead by Daniel A. Braun at the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics. My PhD research has been focused on understanding how decision-makers can leverage the structure of their environment in order to efficiently cope with uncertainty. I investigated links between bounded rationality (lately termed computational rationality) and information theory, in particular rate distortion theory.
Content outdated: The publication list, some of the content and my CV are currently a bit outdated. For an up-to-date publication list please refer to my Google Scholar profile page.
Latest blog posts
Talk @ Amlab Amsterdam: 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.
PhD thesis successfully defended - PhD completed
I have successfully defended my PhD thesis which concludes my PhD.
Paper accepted: On Detecting Adversarial Perturbations
Metzen JH, Genewein T, Fischer V, Bischoff B (2017). On Detecting Adversarial Perturbations.
Paper presented @ ECML 2016: Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Grau-Moya J, Leibfried F, Genewein T, Braun D.A. Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes