most citedGaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Information Geometry of Message Passing

Mykola Lukashchuk, Kyrylo Yemets, Alex Ledbetter +1

We show that the natural-gradient stationary condition of variational inference has an edge-local form on a Forney-style factor graph. We start from the Bethe free energy and const…

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…

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.RO2026★ 1 cited

Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study

Andrew Stirling, Mykola Lukashchuk, Dmitry Bagaev +2

This letter extends the exactly sparse Gaussian variational inference (ESGVI) algorithm for state estimation in two complementary directions. First, ESGVI is generalized to operate…

cs.AI2025

Active Inference is a Subtype of Variational Inference

Wouter W. L. Nuijten, Mykola Lukashchuk

Automated decision-making under uncertainty requires balancing exploitation and exploration. Classical methods treat these separately using heuristics, while Active Inference unifi…

math.ST2025

A resolution of the Borel-Kolmogorov Paradox via the Maximum Entropy Principle

Raphaël Trésor, Mykola Lukashchuk

Bayesian updating routinely conditions on events of prior probability zero, such as an exact observation of a continuous parameter or a parameter confined to a submanifold. Two equ…

cs.LG2025

GateTS: Versatile and Efficient Forecasting via Attention-Inspired routed Mixture-of-Experts

Kyrylo Yemets, Mykola Lukashchuk, Ivan Izonin

Accurate univariate forecasting remains a pressing need in real-world systems, such as energy markets, hydrology, retail demand, and IoT monitoring, where signals are often intermi…

cs.AI2025

A Message Passing Realization of Expected Free Energy Minimization

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

We present a message passing approach to Expected Free Energy (EFE) minimization on factor graphs, based on the theory introduced in arXiv:2504.14898. By reformulating EFE minimiza…

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…