Paper-Conference

The Switching Hierarchical Gaussian Filter
In this paper we discuss variational message passing-based (VMP) inference in a switching Hierarchical Gaussian Filter (HGF). An HGF is …
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Learning Where to Park
We consider active inference as a novel approach to the design of synthetic autonomous agents. In order to assess active inference’s …
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A Worked Example of Fokker-Planck based Active Inference
The Free Energy Principle (FEP) and its corollary active inference describe a complex theoretical framework with a substantial …
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Online system identification in a Duffing oscillator by free energy minimisation
Online system identification is the estimation of parameters of a dynamical system, such as mass or friction coefficients, for each …
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Online Message Passing-based Inference in the Hierarchical Gaussian Filter
We address the problem of online state and parameter estimation in the Hierarchical Gaussian Filter (HGF), which is a multi-layer …
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Online Variational Message Passing in Hierarchical Autoregressive Models
Hierarchical autoregressive (AR) models can describe many complex physical processes. Unfortunately, online adaptation in these models …
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Bayesian joint state and parameter tracking in autoregressive models
We address the problem of online Bayesian state and parameter tracking in autoregressive (AR) models with time-varying process noise …
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Real-time Audio Processing for Hearing Aids using a Model-Based Bayesian Inference Framework
Development of hearing aid (HA) signal processing algorithms entails an iterative process between two design steps, namely algorithm …
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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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