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.

News

All news»

[Apr/2021] Workshop Tractable Probabilistic Modeling accepted and will be hosted at the 37th Conference on Uncertainty in Artificial Intelligence.

[Apr/2021] “Novel AI driven approach to General Movement Assessment” has been accepted at Scientific Reports (Springer Nature).

[Apr/2021] Gennaro Gala joined the group as PhD Candidate and will focus on tractable probabilistic models for AI and ML (supervisor: Erik Quaeghebeur). Welcome, Gennaro!

[Mar/2021] Wieger Wesselink joined the group as Senior AI Engineer. Welcome, Wieger!

[Feb/2021] “High-Value Token-Blocking: Efficient Blocking Method for Record Linkage” has been accepted for publication in the ACM TKDD.

Faculty

Avatar

Cassio de Campos

(Associate) Professor

Probabilistic Graphical Models, Imprecise Probability, Computational Complexity, Causality, Robustness, Efficiency, Interpretability

Avatar

Erik Quaeghebeur

(Assistant) Professor

Artificial Intelligence, Imprecise Probability, Surrogate Modelling

Avatar

Maryam Tavakol

(Assistant) Professor

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

Avatar

Robert Peharz

(Assistant) Professor

Artificial Intelligence, Probabilistic Machine Learning, Probabilistic Circuits

Researchers

Avatar

Alvaro H. C. Correia

PhD Candidate

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

Avatar

David R. Montalvan Hernandez

PhD Candidate

Bayesian Machine Learning, Probabilistic Circuits, Quantitative Finance, Logic, Causality

Avatar

Gennaro Gala

PhD Candidate

Generative Models, Probabilistic Circuits, Machine Learning, Neural-Symbolic Integration

Avatar

Thomas Krak

Researcher

Imprecise Probabilities, Probabilistic Graphical Models, Stochastic Processes, Inference Algorithms

Avatar

Vu-Linh Nguyen

Postdoc Researcher

Artificial Intelligence, Probabilistic Machine Learning, Active Learning, Ensemble Learning

Avatar

Wieger Wesselink

Senior Engineer

Artificial Intelligence, Verification, Programming (C++, Python, Java)