7 papers
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…
Learning from Radio using Variational Quantum RF Sensing
Ivana Nikoloska
In modern wireless networks, radio channels serve a dual role. Whilst their primary function is to carry bits of information from a transmitter to a receiver, the intrinsic sensiti…
Physics-Guided Variational Model for Unsupervised Sound Source Tracking
Luan Vinícius Fiorio, Ivana Nikoloska, Bruno Defraene +3
Sound source tracking is commonly performed using classical array-processing algorithms, while machine-learning approaches typically rely on precise source position labels that are…
Quantum Integrated Sensing and Computation with Indefinite Causal Order
Ivana Nikoloska
Quantum operations with indefinite causal order (ICO) represent a framework in quantum information processing where the relative order between two events can be indefinite. In this…
Clustering of Acoustic Environments with Variational Autoencoders for Hearing Devices
Luan Vinícius Fiorio, Ivana Nikoloska, Wim van Houtum +1
Traditional acoustic environment classification relies on: i) classical signal processing algorithms, which are unable to extract meaningful representations of high-dimensional dat…
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…