Paper-Conference

ForneyLab: A Toolbox for Biologically Plausible Free Energy Minimization in Dynamic Neural Models

The free energy principle (FEP) claims that self-organization in biological agents is driven by variational free energy (FE) …

Thijs van de Laar, Marco Cox, İsmail Şenöz, Ivan Bocharov, Bert de Vries

Acoustic scene classification from few examples

In order to personalize the behavior of hearing aid devices in different acoustic environments, we need to develop personalized …

Ivan Bocharov, Tjalling Tjalkens, Bert de Vries

Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables

Factor graphs provide a convenient framework for automatically generating (approximate) Bayesian inference algorithms based on message …

Marco Cox, Bert de Vries

ForneyLab.jl: a Julia Toolbox for Factor Graph-based Probabilistic Programming

Scientific modeling concerns a continual search for better models for given data sets. This process can be elegantly captured in a …

Thijs van de Laar, Marco Cox, Bert de Vries

A Probabilistic Modeling Approach to One-Shot Gesture Recognition

Gesture recognition enables a natural extension of the way we currently interact with devices. Commercially available gesture …

Anouk, Marco Cox, Bert de Vries

K-shot learning of acoustic context

In order to personalize the behavior of hearing aid devices in different acoustic scenes, we need personalized acoustic scene …

Ivan Bocharov, Bert de Vries, Tjalling Tjalkens

A parametric approach to Bayesian optimization with pairwise comparisons

Optimizing a (preference) function through a small number of pairwise comparisons is challenging since pairwise comparisons provide …

Marco Cox, Bert de Vries

Variational Stabilized Linear Forgetting in State-Space Models

State-space modeling of non-stationary natural signals is a notoriously difficult task. As a result of context switches, the memory …

Thijs van de Laar, Marco Cox, Anouk, Bert de Vries

A probabilistic modeling approach to hearing loss compensation

Hearing loss is a serious and prevalent condition that is characterized by a frequency-dependent loss of sensitivity for acoustic …

Thijs van de Laar, Bert de Vries

A Gaussian process mixture prior for hearing loss modeling

Machine learning approaches to hearing loss estimation can significantly reduce the number of required experiments, but require a good …

Marco Cox, Bert de Vries