Search Results for author: Thijs van de Laar

Found 10 papers, 4 papers with code

Sources of HIV infections among MSM with a migration background: a viral phylogenetic case study in Amsterdam, the Netherlands

1 code implementation16 Jan 2024 Alexandra Blenkinsop, Nikos Pantazis, Evangelia Georgia Kostaki, Lysandros Sofocleous, Ard van Sighem, Daniela Bezemer, Thijs van de Laar, Marc van der Valk, Peter Reiss, Godelieve de Bree, Oliver Ratmann

Methods: We used partial HIV consensus sequences with linked demographic and clinical data from the opt-out ATHENA cohort of people with HIV in the Netherlands to quantify population-level sources of transmission to Dutch-born and foreign-born Amsterdam men who have sex with men (MSM) between 2010-2021.

Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language

no code implementations13 Jun 2023 Magnus Koudahl, Thijs van de Laar, Bert de Vries

Active Inference (AIF) is a corollary of the FEP that specifically details how systems that are able to plan for the future (agents) function by minimising particular free energy functionals that incorporate information seeking components.

Variational Inference

Automating Model Comparison in Factor Graphs

1 code implementation9 Jun 2023 Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries

Bayesian state and parameter estimation have been automated effectively in a variety of probabilistic programming languages.

Probabilistic Programming

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates

1 code implementation5 Jun 2023 Thijs van de Laar, Magnus Koudahl, Bert de Vries

The Free Energy Principle (FEP) describes (biological) agents as minimising a variational Free Energy (FE) with respect to a generative model of their environment.

Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam

no code implementations15 Mar 2022 Alexandra Blenkinsop, Mélodie Monod, Ard van Sighem, Nikos Pantazis, Daniela Bezemer, Eline Op de Coul, Thijs van de Laar, Christophe Fraser, Maria Prins, Peter Reiss, Godelieve de Bree, Oliver Ratmann

Utilising molecular and clinical data of the ATHENA observational HIV cohort, our primary aims are to estimate the proportion of undiagnosed HIV infections and the proportion of locally acquired infections in Amsterdam in 2014-2018, both in MSM and heterosexuals and Dutch-born and foreign-born individuals.

Active Inference and Epistemic Value in Graphical Models

no code implementations1 Sep 2021 Thijs van de Laar, Magnus Koudahl, Bart van Erp, Bert de Vries

The AIF literature describes multiple VFE objectives for policy planning that lead to epistemic (information-seeking) behavior.

Chance-Constrained Active Inference

no code implementations17 Feb 2021 Thijs van de Laar, Ismail Senoz, Ayça Özçelikkale, Henk Wymeersch

We illustrate how chance-constrained ActInf weights all imposed (prior) constraints on the generative model, allowing e. g., for a trade-off between robust control and empirical chance constraint violation.

A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms

1 code implementation8 Nov 2018 Marco Cox, Thijs van de Laar, Bert de Vries

This paper explores a specific probabilistic programming paradigm, namely message passing in Forney-style factor graphs (FFGs), in the context of automated design of efficient Bayesian signal processing algorithms.

Probabilistic Programming Variational Inference

A Probabilistic Modeling Approach to Hearing Loss Compensation

no code implementations3 Feb 2016 Thijs van de Laar, Bert de Vries

Hearing Aid (HA) algorithms need to be tuned ("fitted") to match the impairment of each specific patient.

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