
How Morphological Computation shapes Integrated Information in Embodied Agents
The Integrated Information Theory provides a quantitative approach to co...
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Complexity as Causal Information Integration
Complexity measures in the context of the Integrated Information Theory ...
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Natural WakeSleep Algorithm
The benefits of using the natural gradient are well known in a wide rang...
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Confounding Ghost Channels and Causality: A New Approach to Causal Information Flows
Information theory provides a fundamental framework for the quantificati...
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The informationgeometric perspective of Compositional Data Analysis
Information geometry uses the formal tools of differential geometry to d...
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On the Locality of the Natural Gradient for Deep Learning
We study the natural gradient method for learning in deep Bayesian netwo...
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Information Decomposition based on Cooperative Game Theory
We offer a new approach to the information decomposition problem in info...
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Comparing InformationTheoretic Measures of Complexity in Boltzmann Machines
In the past three decades, many theoretical measures of complexity have ...
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Information Theoretically Aided Reinforcement Learning for Embodied Agents
Reinforcement learning for embodied agents is a challenging problem. The...
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Evaluating Morphological Computation in Muscle and DCmotor Driven Models of Human Hopping
In the context of embodied artificial intelligence, morphological comput...
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Geometry and Determinism of Optimal Stationary Control in Partially Observable Markov Decision Processes
It is well known that for any finite state Markov decision process (MDP)...
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Geometry and Expressive Power of Conditional Restricted Boltzmann Machines
Conditional restricted Boltzmann machines are undirected stochastic neur...
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Maximal Information Divergence from Statistical Models defined by Neural Networks
We review recent results about the maximal values of the KullbackLeible...
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Quantifying Morphological Computation
The field of embodied intelligence emphasises the importance of the morp...
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Higher coordination with less control  A result of information maximization in the sensorimotor loop
This work presents a novel learning method in the context of embodied ar...
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Nihat Ay
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