activity
20222026
most citedAIDA: An Active Inference-based Design Agent for Audio Processing Algorithms

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression

Wouter W. L. Nuijten, Esther G. van Pelt, Albert Podusenko +2

Multi-output Gaussian process regression scales cubically in the number of observations times outputs, and dense kernel-matrix methods need bespoke handling whenever different outp…

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…

stat.ML2025

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…

stat.ML2022★ 2 cited

Variational message passing for online polynomial NARMAX identification

Wouter Kouw, Albert Podusenko, Magnus Koudahl +1

We propose a variational Bayesian inference procedure for online nonlinear system identification. For each output observation, a set of parameter posterior distributions is updated…

eess.AS2022★ 6 cited

AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms

Albert Podusenko, Bart van Erp, Magnus Koudahl +1

In this paper we present AIDA, which is an active inference-based agent that iteratively designs a personalized audio processing algorithm through situated interactions with a huma…