Paper-Conference

Reparameterization Gradient Message Passing

In this paper we consider efficient message passing based inference in a factor graph representation of a probabilistic model. Current …

Semih Akbayrak, Bert de Vries

Online Variational Message Passing in Autoregressive Models

Autoregressive (AR) models are one of the most popular ways to describe different time-varying processes in nature, economics, etc. …

Albert Podusenko, Wouter Kouw, Bert de Vries

Robust Bayesian beamforming for sources at different distances with applications in urban monitoring

Acoustic smart sensor networks can provide valuable actionable intelligence to authorities for managing safety in the urban …

Patrick Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal

ForneyLab.jl: Fast and flexible automated inference through message passing in Julia

To accommodate automatic (Bayesian) inference in a large class of models, probabilistic programming systems usually rely on inference …

Marco Cox, Thijs van de Laar, Bert de Vries

Online Variational Message Passing in the Hierarchical Gaussian Filter

We address the problem of online state and parameter estimation in hierarchical Bayesian nonlinear dynamic systems. We focus on the …

İsmail Şenöz, Bert de Vries

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