Faculty
Arthur Van Camp
(Assistant) Professor
Imprecise Probabilities, Probabilistic Graphical Models, Choice Functions
Cassio de Campos
(Full) Professor
Probabilistic Graphical Models, Imprecise Probabilities, Generative Models, Computational Complexity, Causality, Robustness, Algorithmic Efficiency, Interpretability
Devendra Singh Dhami
(Assistant) Professor
Causality, Neuro Symbolic AI, Probabilistic Deep Models, ML in healthcare, Human-in-the-loop Deep learning, Graphical Models, Knowledge Graphs, Scaling in Probabilistic Logic models.
Erik Quaeghebeur
(Assistant) Professor
Artificial Intelligence, Imprecise Probability, Surrogate Modelling
Maryam Tavakol
(Assistant) Professor
Machine Learning, Reinforcement Learning, Fairness-aware Learning, Counterfactual Learning
Thomas Krak
(Assistant) Professor
Imprecise Probabilities, Probabilistic Graphical Models, Stochastic Processes, Inference Algorithms
Researchers
David R. Montalvan Hernandez
PhD Candidate
Bayesian Machine Learning, Probabilistic Circuits, Quantitative Finance, Logic, Causality
Gennaro Gala
PhD Candidate
Generative Models, Probabilistic Circuits, Machine Learning, Neural-Symbolic Integration
Soroush Ghandi
PhD Candidate
Reinforcement Learning, Probabilistic Modeling, Uncertainty Quantification, Visual Attention
Wieger Wesselink
Senior Engineer
Artificial Intelligence, Verification, Programming (C++, Python, Java)
Visiting Fellows
Benjamin Quost
(Associate) Professor / Senior Researcher
Artificial Intelligence, Machine Learning under Uncertainty
Robert Peharz
(Assistant) Professor
Artificial Intelligence, Probabilistic Machine Learning, Probabilistic Circuits
Former Members
Alvaro H. C. Correia
Researcher
Machine Learning, Probabilistic Circuits, Natural Language Processing, Reinforcement Learning
Vu-Linh Nguyen
(Junior) Professor
Artificial Intelligence, Probabilistic Machine Learning, Active Learning, Ensemble Learning
Zeno van Cauter
Researcher
Natural Language Processing, Multimodal Models, Model Compression, Model Pre-training Strategies