1 citations · 1 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…