<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | BIASlab</title><link>http://biaslab.org/publication-type/article-journal/</link><atom:link href="http://biaslab.org/publication-type/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Nov 2026 00:00:00 +0000</lastBuildDate><image><url>http://biaslab.org/media/icon_hu_47940ffff6bbba19.png</url><title>Article-Journal</title><link>http://biaslab.org/publication-type/article-journal/</link></image><item><title>Maintenance optimization for asset networks with unknown degradation parameters</title><link>http://biaslab.org/publication/maintenance-optimization-asset-networks/</link><pubDate>Sun, 01 Nov 2026 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/maintenance-optimization-asset-networks/</guid><description/></item><item><title>Partial state-feedback reduced-order switching predictive models for next-generation optical lithography systems</title><link>http://biaslab.org/publication/partial-feedback-lithography/</link><pubDate>Sun, 15 Mar 2026 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/partial-feedback-lithography/</guid><description/></item><item><title>Gaussian variational inference with non-Gaussian factors for state estimation</title><link>http://biaslab.org/publication/esgvi-uwb-localization/</link><pubDate>Mon, 12 Jan 2026 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/esgvi-uwb-localization/</guid><description/></item><item><title>A Factor Graph Approach to Variational Sparse Gaussian Processes</title><link>http://biaslab.org/publication/factor-graph-approach-variational-gp/</link><pubDate>Wed, 02 Jul 2025 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/factor-graph-approach-variational-gp/</guid><description/></item><item><title>Factor graph-based online Bayesian identification and component evaluation for multivariate autoregressive exogenous input models</title><link>http://biaslab.org/publication/marx-modeleval/</link><pubDate>Mon, 23 Jun 2025 12:00:00 +0200</pubDate><guid>http://biaslab.org/publication/marx-modeleval/</guid><description/></item><item><title>Multiple variational Kalman-GRU for ship trajectory prediction with uncertainty</title><link>http://biaslab.org/publication/kalman-gru-ship-trajectory-prediction-copy/</link><pubDate>Wed, 06 Nov 2024 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/kalman-gru-ship-trajectory-prediction-copy/</guid><description/></item><item><title>GraphPPL.jl: A Probabilistic Programming Language for Graphical Models</title><link>http://biaslab.org/publication/graphppl-entropy/</link><pubDate>Tue, 22 Oct 2024 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/graphppl-entropy/</guid><description/></item><item><title>Bayesian inference of collision avoidance intent during ship encounters</title><link>http://biaslab.org/publication/infer-ship-collision-avoidance-intent/</link><pubDate>Tue, 02 Apr 2024 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/infer-ship-collision-avoidance-intent/</guid><description/></item><item><title>Information-seeking polynomial NARX model-predictive control through expected free energy minimization</title><link>http://biaslab.org/publication/narx-efe-controller/</link><pubDate>Wed, 27 Dec 2023 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/narx-efe-controller/</guid><description/></item><item><title>Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization</title><link>http://biaslab.org/publication/principled_pruning_bnn/</link><pubDate>Wed, 29 Nov 2023 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/principled_pruning_bnn/</guid><description/></item><item><title>Automating model comparison in factor graphs</title><link>http://biaslab.org/publication/automating_model_comparison_in_ffgs/</link><pubDate>Sat, 29 Jul 2023 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/automating_model_comparison_in_ffgs/</guid><description/></item><item><title>Realising Synthetic Active Inference Agents, Part II: Variational Message Updates</title><link>http://biaslab.org/publication/realising_synthetic_active_inference_agents_part_ii_variational_message_updates/</link><pubDate>Wed, 12 Jul 2023 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/realising_synthetic_active_inference_agents_part_ii_variational_message_updates/</guid><description/></item><item><title>Reactive Message Passing for Scalable Bayesian Inference</title><link>http://biaslab.org/publication/reactive-message-passing-for-scalable-bayesian-inference/</link><pubDate>Sat, 27 May 2023 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/reactive-message-passing-for-scalable-bayesian-inference/</guid><description/></item><item><title>RxInfer: A Julia package for reactive real-time Bayesian inference</title><link>http://biaslab.org/publication/rxinfer-a-julia-package-for-realtime-bayesian-inference/</link><pubDate>Thu, 20 Apr 2023 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/rxinfer-a-julia-package-for-realtime-bayesian-inference/</guid><description/></item><item><title>Probabilistic programming with stochastic variational message passing</title><link>http://biaslab.org/publication/probabilistic_programming_with_stochastic_variational_message_passing/</link><pubDate>Wed, 22 Jun 2022 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/probabilistic_programming_with_stochastic_variational_message_passing/</guid><description/></item><item><title>ReactiveMP.jl: A Julia package for reactive variational Bayesian inference</title><link>http://biaslab.org/publication/a-julia-package-for-reactive-variational-bayesian-inference/</link><pubDate>Sun, 01 May 2022 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/a-julia-package-for-reactive-variational-bayesian-inference/</guid><description/></item><item><title>Active Inference and Epistemic Value in Graphical Models</title><link>http://biaslab.org/publication/epistemic-value-graphical-models/</link><pubDate>Wed, 06 Apr 2022 09:00:00 +0200</pubDate><guid>http://biaslab.org/publication/epistemic-value-graphical-models/</guid><description/></item><item><title>AIDA: An active inference-Based design agent for audio processing algorithms</title><link>http://biaslab.org/publication/aida/</link><pubDate>Mon, 07 Mar 2022 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/aida/</guid><description/></item><item><title>On Epistemics in Expected Free Energy for Linear Gaussian State Space Models</title><link>http://biaslab.org/publication/efe-lgds/</link><pubDate>Wed, 24 Nov 2021 10:40:00 +0200</pubDate><guid>http://biaslab.org/publication/efe-lgds/</guid><description/></item><item><title>A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms</title><link>http://biaslab.org/publication/situated-soundscaping/</link><pubDate>Thu, 14 Oct 2021 11:37:31 +0200</pubDate><guid>http://biaslab.org/publication/situated-soundscaping/</guid><description/></item><item><title>Bayesian pure-tone audiometry through active learning under informed priors</title><link>http://biaslab.org/publication/bayesian-pure-tone-audiometry-through-active-learning-under-informed-priors/</link><pubDate>Fri, 13 Aug 2021 07:41:37 +0100</pubDate><guid>http://biaslab.org/publication/bayesian-pure-tone-audiometry-through-active-learning-under-informed-priors/</guid><description/></item><item><title>Extended Variational Message Passing for Automated Approximate Bayesian Inference</title><link>http://biaslab.org/publication/extended-variational-message-passing-for-automated-approximate-bayesian-inference/</link><pubDate>Sat, 26 Jun 2021 16:37:31 +0200</pubDate><guid>http://biaslab.org/publication/extended-variational-message-passing-for-automated-approximate-bayesian-inference/</guid><description/></item><item><title>Variational Message Passing and Local Constraint Manipulation in Factor Graphs</title><link>http://biaslab.org/publication/variational-message-passing-and-local-constraint-manipulation-in-factor-graphs/</link><pubDate>Thu, 24 Jun 2021 16:37:31 +0200</pubDate><guid>http://biaslab.org/publication/variational-message-passing-and-local-constraint-manipulation-in-factor-graphs/</guid><description/></item><item><title>Message Passing-Based Inference for Time-Varying Autoregressive Models</title><link>http://biaslab.org/publication/message-passing-based-inference-for-tvar/</link><pubDate>Fri, 28 May 2021 16:37:31 +0200</pubDate><guid>http://biaslab.org/publication/message-passing-based-inference-for-tvar/</guid><description/></item><item><title>Chance-constrained active inference</title><link>http://biaslab.org/publication/chance-constrained-active-inference/</link><pubDate>Thu, 06 May 2021 14:07:00 +0200</pubDate><guid>http://biaslab.org/publication/chance-constrained-active-inference/</guid><description/></item><item><title>Application of the free energy principle to estimation and control</title><link>http://biaslab.org/publication/application-free-energy-principle/</link><pubDate>Tue, 22 Oct 2019 14:50:37 +0100</pubDate><guid>http://biaslab.org/publication/application-free-energy-principle/</guid><description/></item><item><title>Simulating Active Inference Processes by Message Passing</title><link>http://biaslab.org/publication/simulating-active-inference/</link><pubDate>Thu, 28 Mar 2019 16:37:31 +0200</pubDate><guid>http://biaslab.org/publication/simulating-active-inference/</guid><description/></item><item><title>A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms</title><link>http://biaslab.org/publication/factor-graph-bayesian-signal-processing/</link><pubDate>Tue, 01 Jan 2019 14:50:37 +0100</pubDate><guid>http://biaslab.org/publication/factor-graph-bayesian-signal-processing/</guid><description/></item><item><title>A factor graph description of deep temporal active inference</title><link>http://biaslab.org/publication/a-factor-graph-description-of-active-inference/</link><pubDate>Wed, 18 Oct 2017 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/a-factor-graph-description-of-active-inference/</guid><description/></item><item><title>The graphical brain: Belief propagation and active inference</title><link>http://biaslab.org/publication/the-graphical-brain/</link><pubDate>Fri, 07 Jul 2017 00:00:00 +0000</pubDate><guid>http://biaslab.org/publication/the-graphical-brain/</guid><description/></item><item><title>A Probabilistic Modeling Approach to Hearing Loss Compensation</title><link>http://biaslab.org/publication/probabilistic-hearing-loss-compensation/</link><pubDate>Thu, 10 Nov 2016 16:37:31 +0200</pubDate><guid>http://biaslab.org/publication/probabilistic-hearing-loss-compensation/</guid><description/></item></channel></rss>