Paper-Conference

Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
In nature, active inference agents must learn how observations of the world represent the state of the agent. In engineering, the …
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Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
We propose a computational procedure for identifying convection in heat transfer dynamics. The procedure is based on a Gaussian process …
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Multi-Agent Trajectory Planning with NUV Priors
This paper presents a probabilistic model-based approach to centralized multi-agent trajectory planning. This approach allows for …
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Context-aware preference learning system based on Dirichlet process Gaussian mixture model
We study a context-aware preference learning system that automatically learns user preferences in different environments. The system is …
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Gaussian Process Amplitude Demodulation by Message-Passing
Gaussian Process Amplitude Modulation (GPAM) is a probabilistic model that assigns Gaussian Process priors to the modulator and the …
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Efficient Bayesian Inference by Conjugate-computation Variational Message Passing
Variational message passing is an efficient Bayesian inference method in factorized probabilistic models composed of conjugate factors …
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Toward Design of Synthetic Active Inference Agents by Mere Mortals
The theoretical properties of active inference agents are impressive, but how do we realize effective agents in working hardware and …
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Message Passing-based System Identification for NARMAX Models
We present a variational Bayesian identification procedure for polynomial NARMAX models based on message passing on a factor graph. …
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Efficient Model Evidence Computation in Tree-structured Factor Graphs
Model evidence is a fundamental performance measure in Bayesian machine learning as it represents how well a model fits an observed …
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Variational Bayes for Robust Radar Single Object Tracking
We address object tracking by radar and the robustness of the current state-of-the-art methods to process outliers. The standard …
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