Associate Cluster Members

The Cluster "Machine Learning" currently comprises 9 associate members, i.e. scientists that are not directly involved in the field of machine learning, but who are willing to open up new collaborations.

There is the possibility of adding new members. Information about the admission procedure is provided by the Central Office of the Cluster.


Peter Dayan

Peter Dayan works on neural reinforcement learning, studying the computational, behavioural and neural substrates of decision-making.
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Todd Ehlers

Todd Ehlers research interests are in the interactions between climate, tectonics, and biota during mountain building
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Gerhard Jäger

Gerhard Jäger conducts research on the modeling of language diversity and language change, utilizing machine learning and Bayesian statistical inference.
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Augustin Kelava

Augustin Kelva is interested in psychometrics, estimation of semi- and nonparametric latent variable structural equation models, and regularization in Bayesian models

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Zhaoping Li

Zhaoping Li works on vision and olfaction in the brain, and other related topics such as memory, neural circuits and networks, information theory, signal processing and inference

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Detmar Meurers

Detmar Meurers work focuses on empirically rich, linguistically insightful models of human language, especially in the context of language learning and in ecologically valid, real-life education
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Martin Oettel

Martin Oettel works on problems in Statistical Physics and utilizes Machine Learning to analyze simulation data and to build density functional models
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Peter Dayan

Peter Dayan beschäftigt sich mit neuronalem Reinforcement Learning und untersucht die computationalen, verhaltensbezogenen und neuronalen Substrate von Entscheidungsprozessen.
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Dominik Papies

Dominik Papies use modern econometric methods and diverse data sets to understand the impact of digitization and new technology on markets, consumers, and business models.
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Frank Schreiber

Frank Schreiber is interested in the physics of molecular and biological matter, studied in particular with scattering techniques.

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