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Thijs van de Laar
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2020 – today
- 2023
- [j8]Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries:
Automating Model Comparison in Factor Graphs. Entropy 25(8): 1138 (2023) - [i7]Thijs van de Laar, Magnus T. Koudahl, Bert de Vries:
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates. CoRR abs/2306.02733 (2023) - [i6]Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries:
Automating Model Comparison in Factor Graphs. CoRR abs/2306.05965 (2023) - [i5]Magnus T. Koudahl, Thijs van de Laar, Bert de Vries:
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. CoRR abs/2306.08014 (2023) - 2022
- [j7]Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries:
Active Inference and Epistemic Value in Graphical Models. Frontiers Robotics AI 9: 794464 (2022) - 2021
- [j6]Ismail Senöz, Thijs van de Laar, Dmitry Bagaev, Bert de Vries:
Variational Message Passing and Local Constraint Manipulation in Factor Graphs. Entropy 23(7): 807 (2021) - [j5]Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch:
Chance-Constrained Active Inference. Neural Comput. 33(10): 2710-2735 (2021) - [j4]Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch:
Application of the Free Energy Principle to Estimation and Control. IEEE Trans. Signal Process. 69: 4234-4244 (2021) - [i4]Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch:
Chance-Constrained Active Inference. CoRR abs/2102.08792 (2021) - [i3]Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries:
Active Inference and Epistemic Value in Graphical Models. CoRR abs/2109.00541 (2021) - 2020
- [c2]Burak Ergul, Thijs van de Laar, Magnus T. Koudahl, Martin Roa Villescas, Bert de Vries:
Learning Where to Park. IWAI 2020: 125-132
2010 – 2019
- 2019
- [j3]Thijs van de Laar, Bert de Vries:
Simulating Active Inference Processes by Message Passing. Frontiers Robotics AI 6: 20 (2019) - [j2]Marco Cox, Thijs van de Laar, Bert de Vries:
A factor graph approach to automated design of Bayesian signal processing algorithms. Int. J. Approx. Reason. 104: 185-204 (2019) - [i2]Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch:
Application of the Free Energy Principle to Estimation and Control. CoRR abs/1910.09823 (2019) - 2018
- [i1]Marco Cox, Thijs van de Laar, Bert de Vries:
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms. CoRR abs/1811.03407 (2018) - 2017
- [c1]Thijs van de Laar, Marco Cox, Anouk van Diepen, Bert de Vries:
Variational stabilized linear forgetting in state-space models. EUSIPCO 2017: 818-822 - 2016
- [j1]Thijs van de Laar, Bert de Vries:
A Probabilistic Modeling Approach to Hearing Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2200-2213 (2016)
Coauthor Index
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