Uncertainty in Artificial Intelligence Group

Data and AI Cluster - Department of Mathematics and Computer Science - TU Eindhoven

The UAI research group at TU/e explores uncertainty in AI and machine learning from multiple angles on principles of AI, theories of representation, probabilistic AI models, algorithms for learning, reasoning and decision making. There is also an important focus on approaches that are not only accurate but efficient, interpretative, robust and trustworthy.

The group has been created recently and is growing. We expect to reach around 10 members by the first quarter of 2021. You can keep informed about job opportunities using TU/e vacancies.

Researchers

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Alvaro H. C. Correia

PhD Candidate

Machine Learning, Probabilistic Circuits, Natural Language Processing, Reinforcement Learning

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Cassio de Campos

(Associate) Professor

Probabilistic Graphical Models, Imprecise Probability, Computational Complexity

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Erik Quaeghebeur

(Assistant) Professor

Artificial Intelligence, Imprecise Probability, Surrogate Modelling

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Maryam Tavakol

(Assistant) Professor

Machine Learning, Reinforcement Learning, Fairness-aware Learning, Counterfactual Learning

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Robert Peharz

(Assistant) Professor

Artificial Intelligence, Probabilistic Machine Learning, Probabilistic Circuits