collaborators

8 papers

cs.AI2026

Sophisticated Policies from Epistemic Priors

Wouter W. L. Nuijten, Bert de Vries

Sophisticated Inference is a variant of active inference often associated with recursive belief modeling and tree search. We argue that its central computational role is simpler: w…

cs.AI2026

What Type of Inference is Active Inference?

Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar +1

Active inference casts decision-making as inference, with the Expected Free Energy (EFE) unifying goal-directed and information-seeking behavior. Recent work showed that EFE minimi…

math.ST2026

Reformulation Invariance and the Axiomatic Foundations of Inference

Raphaël Trésor, Thijs van de Laar, Bert de Vries

Maximum entropy, Bayesian updating, and exponential-family estimation are all instances of a common inference principle: selecting the measure or distribution that minimizes a dive…

cs.AI2026

Expected Free Energy-based Planning as Variational Inference

Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries

Planning under uncertainty requires agents to balance goal achievement with information gathering. Active inference addresses this through the Expected Free Energy (EFE), a cost fu…

cs.LG2026

Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference

Mykola Lukashchuk, Kyrylo Yemets, Wouter M. Kouw +4

Stacking probabilistic building blocks into deeper architectures typically breaks closed-form inference. We show that closed-form inference can be preserved. We identify five facto…

stat.ML2026

Active Inference for Physical AI Agents -- An Engineering Perspective

Bert de Vries

Physical AI agents, such as robots and other embodied systems operating under tight and fluctuating resource constraints, remain far less capable than biological agents in open-end…