Thijs van de Laar
Department / Institute
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RESEARCH PROFILE
Thijs van de Laar is Assistant Professor with the Bayesian Intelligent Autonomous Systems lab (BIASlab). His research interest lies with intelligent systems that support decision-making under situated, dynamical conditions. Through probabilistic programming techniques, his research scales Active Inference, a leading neuroscientific theory about behaviour, for use in industrial applications.
Real-time adaptation is key to the development of effective intelligent agents
ACADEMIC BACKGROUND
Thijs obtained his PhD degree at the Eindhoven University of Technology (TU/e) in 2019, on the topic of automated design of Bayesian signal processing algorithms. Before that he obtained his MSc degree in natural sciences at the Radboud University, with specializations in biophysics and science communication.
Recent Publications
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Automating Model Comparison in Factor Graphs
Entropy (2023) -
Automating Model Comparison in Factor Graphs
Entropy (2023) -
Automating Model Comparison in Factor Graphs
(2023) -
Active Inference and Epistemic Value in Graphical Models
Frontiers in Robotics and AI (2022) -
Chance-Constrained Active Inference
Neural Computation (2021)
Current Educational Activities
Ancillary Activities
No ancillary activities