52 citations · 104 across the 7 of their papers we have counts for
9 papers
Impact and dynamics of hate and counter speech online
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young +2
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a lack of large-scale longitudinal studies…
Countering hate on social media: Large scale classification of hate and counter speech
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young +2
Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence. A potential solution to this growing global pro…
Information Theoretically Aided Reinforcement Learning for Embodied Agents
Guido Montufar, Keyan Ghazi-Zahedi, Nihat Ay
Reinforcement learning for embodied agents is a challenging problem. The accumulated reward to be optimized is often a very rugged function, and gradient methods are impaired by ma…
Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping
Keyan Ghazi-Zahedi, Daniel F. B. Haeufle, Guido Montufar +2
In the context of embodied artificial intelligence, morphological computation refers to processes which are conducted by the body (and environment) that otherwise would have to be…
Quantifying Morphological Computation based on an Information Decomposition of the Sensorimotor Loop
Keyan Ghazi-Zahedi, Johannes Rauh
The question how an agent is affected by its embodiment has attracted growing attention in recent years. A new field of artificial intelligence has emerged, which is based on the i…
Geometry and Expressive Power of Conditional Restricted Boltzmann Machines
Guido Montufar, Nihat Ay, Keyan Ghazi-Zahedi
Conditional restricted Boltzmann machines are undirected stochastic neural networks with a layer of input and output units connected bipartitely to a layer of hidden units. These n…
Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis
Keyan Zahedi, Georg Martius, Nihat Ay
One of the main challenges in the field of embodied artificial intelligence is the open-ended autonomous learning of complex behaviours. Our approach is to use task-independent, in…
Quantifying Morphological Computation
Keyan Zahedi, Nihat Ay
The field of embodied intelligence emphasises the importance of the morphology and environment with respect to the behaviour of a cognitive system. The contribution of the morpholo…
Higher coordination with less control - A result of information maximization in the sensorimotor loop
Keyan Zahedi, Nihat Ay, Ralf Der
This work presents a novel learning method in the context of embodied artificial intelligence and self-organization, which has as few assumptions and restrictions as possible about…