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Felix Leibfried

 

Bild von Leibfried, Felix

Felix Leibfried

Position: Doktorand  Abteilung: Alumni Braun

I'm in my last year as a PhD student at the institutes for Biological Cybernetics and Intelligent Systems. In general, I am interested in training neural networks with limited computational resources. In my current study, we investigate the regularizing effect of limited computational resources on deterministic feedforward neural networks in classification tasks. Prior to that, we derived synaptic weight update rules for artificial spiking neurons with limited information transmission rate in reinforcement learning tasks.

 

You can find more information about myself at www.felixleibfried.com.

  • 01/2013 – present: PhD student at the Max Planck Institutes for Biological Cybernetics and Intelligent Systems (Tuebingen, Germany)

  • 10/2014 – 12/2015: Teaching assistant at the Graduate School of Neural Information Processing (Tuebingen, Germany)

  • 09/2012 – 12/2012: Scientific assistant at the Department for Computer Science (University of Wuerzburg, Germany)

  • 10/2006 – 09/2012: Diplom studies in Computer Science (University of Wuerzburg, Germany)

  • 10/2004 – 06/2011: Diplom studies in Biology (University of Wuerzburg, Germany)

  • 09/1995 – 06/2004: University-entrance diploma (Miltenberg, Germany)

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Artikel (3):

Genewein T, Leibfried F, Grau-Moya J und Braun DA (Oktober-2015) Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle Frontiers in Robotics and AI 2(27) 1-24.
Leibfried F, Grau-Moya J und Braun DA (August-2015) Signaling equilibria in sensorimotor interactions Cognition 141 73-86.
Leibfried F und Braun DA (Juli-2015) A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker Neural Computation 27(8) 1686-1720.

Beiträge zu Tagungsbänden (4):

Peng Z, Genewein T, Leibfried F und Braun DA (September-25-2017) An Information-Theoretic On-Line Update Principle for Perception-Action Coupling, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), -.
Leibfried F, Kushman N und Hofmann K (April-2017) A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games, 5th International Conference on Learning Representations (ICLR 2017), 1-17.
Grau-Moya J, Leibfried F, Genewein T und Braun DA (September-2016) Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes In: Machine Learning and Knowledge Discovery in Databases, , European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2016), Springer, Cham, Switzerland, 475-491, Series: Lecture Notes in Computer Science ; 9852.
Leibfried F und Braun D (Juni-2016) Bounded Rational Decision-Making in Feedforward Neural Networks In: Uncertainty in Artificial Intelligence, , 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), AUAI Press, Corvallis, OR, USA, 407-416.

Poster (2):

Leibfried F, Grau-Moya J und Braun D (September-2014): Sensorimotor interactions as signaling games, 12th Biannual Conference of the German Cognitive Science Society (KogWis 2014), Tübingen, Germany, Cognitive Processing, 15(Supplement 1) S50-S51.
Leibfried F, Grau-Moya J und Braun DA (September-2013): Signaling in sensorimotor interactions, Bernstein Conference 2013, Tübingen, Germany.

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Last updated: Montag, 22.05.2017