5 papers
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…
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…
A Probabilistic Generative Model for Spectral Speech Enhancement
Marco Hidalgo-Araya, Raphaël Trésor, Bart Van Erp +3
Speech enhancement in hearing aids remains a difficult task in nonstationary acoustic environments, mainly because current signal processing algorithms rely on fixed, manually tune…
Resolution of the Borel-Kolmogorov Paradox via the Maximum Entropy Principle
Raphaël Trésor, Mykola Lukashchuk
This paper presents a rigorous resolution of the Borel-Kolmogorov paradox using the Maximum Entropy Principle. We construct a metric-based framework for Bayesian inference that uni…
Expected Free Energy-based Planning as Variational Inference
Bert de Vries, Wouter Nuijten, Thijs van de Laar +13
We address the problem of planning under uncertainty, where an agent must choose actions that not only achieve desired outcomes but also reduce uncertainty. Traditional methods oft…