Thijs van de Laar

20 papers Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Probabilistic Generative Model for Spectral Speech Enhancement. CoRR Marco D. Hidalgo-Araya, Raphael Tresor, Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
2025	J	`jnl`	A Message Passing Realization of Expected Free Energy Minimization. CoRR Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar, Bert de Vries
2025	J	`jnl`	Expected Free Energy-based Planning as Variational Inference. CoRR Bert de Vries, Wouter W. L. Nuijten, Thijs van de Laar, Wouter M. Kouw, Sepideh Adamiat, Tim Nisslbeck, Mykola Lukashchuk, Hoang Minh Huu Nguyen, Marco D. Hidalgo-Araya, Raphael Tresor, Thijs Jenneskens, Ivana Nikoloska, Raaja Ganapathy Subramanian, Bart van Erp, Dmitry Bagaev, Albert Podusenko
2023	J	`jnl`	Automating Model Comparison in Factor Graphs. CoRR Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
2023	J	`jnl`	Automating Model Comparison in Factor Graphs. Entropy Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
2023	J	`jnl`	Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. CoRR Magnus T. Koudahl, Thijs van de Laar, Bert de Vries
2023	J	`jnl`	Realising Synthetic Active Inference Agents, Part II: Variational Message Updates. CoRR Thijs van de Laar, Magnus T. Koudahl, Bert de Vries
2022	J	`jnl`	Active Inference and Epistemic Value in Graphical Models. Frontiers Robotics AI Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries
2021	J	`jnl`	Active Inference and Epistemic Value in Graphical Models. CoRR Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries
2021	J	`jnl`	Application of the Free Energy Principle to Estimation and Control. IEEE Trans. Signal Process. Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch
2021	J	`jnl`	Chance-Constrained Active Inference. CoRR Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch
2021	J	`jnl`	Chance-Constrained Active Inference. Neural Comput. Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch
2021	J	`jnl`	Variational Message Passing and Local Constraint Manipulation in Factor Graphs. Entropy Ismail Senöz, Thijs van de Laar, Dmitry Bagaev, Bert de Vries
2020	—	`conf`	Learning Where to Park. IWAI Burak Ergul, Thijs van de Laar, Magnus T. Koudahl, Martin Roa Villescas, Bert de Vries
2019	J	`jnl`	A factor graph approach to automated design of Bayesian signal processing algorithms. Int. J. Approx. Reason. Marco Cox, Thijs van de Laar, Bert de Vries
2019	J	`jnl`	Application of the Free Energy Principle to Estimation and Control. CoRR Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch
2019	J	`jnl`	Simulating Active Inference Processes by Message Passing. Frontiers Robotics AI Thijs van de Laar, Bert de Vries
2018	J	`jnl`	A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms. CoRR Marco Cox, Thijs van de Laar, Bert de Vries
2017	—	`conf`	Variational stabilized linear forgetting in state-space models. EUSIPCO Thijs van de Laar, Marco Cox, Anouk van Diepen, Bert de Vries
2016	J	`jnl`	A Probabilistic Modeling Approach to Hearing Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. Thijs van de Laar, Bert de Vries