Paper-Conference

Approximate Inference by Kullback-Leibler Tensor Belief Propagation
Probabilistic programming provides a structured approach to signal processing algorithm design. The design task is formulated as a …
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BATMAN: Bayesian target modelling for active inference
Active Inference is an emerging framework for designing intelligent agents. In an Active Inference setting, any task is formulated as a …
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Reparameterization Gradient Message Passing
In this paper we consider efficient message passing based inference in a factor graph representation of a probabilistic model. Current …
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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. …
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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 …
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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 …
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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 …
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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) …
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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 …
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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 …
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