Thijs van de Laar
Department / Institute
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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Bart van Erp,Wouter W.L. Nuijten,Thijs van de Laar,Bert de Vries
Automating Model Comparison in Factor Graphs
Entropy (2023) -
Bart van Erp,Wouter W.L. Nuijten,Thijs van de Laar,Bert de Vries
Automating Model Comparison in Factor Graphs
Entropy (2023) -
Bart van Erp,Wouter W.L. Nuijten,Thijs van de Laar,Bert de Vries
Automating Model Comparison in Factor Graphs
(2023) -
Thijs van de Laar,Magnus Koudahl,Bart van Erp,Bert de Vries
Active Inference and Epistemic Value in Graphical Models
Frontiers in Robotics and AI (2022) -
Thijs van de Laar,İsmail Şenöz,Ayça Özçelikkale,Henk Wymeersch
Chance-Constrained Active Inference
Neural Computation (2021)
Current Educational Activities
Ancillary Activities
No ancillary activities