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Wouter Nuijten @wouterwln

PhD student Bayesian Machine Learning & Active Inference @TUeindhoven . Football & Futsal enthousiast

Joined February 2022
  • Tweets 36
  • Following 76
  • Followers 39
2 Photos and videos
Wouter Nuijten retweeted
Lazy Dynamics@LazyDynamics
Jun 9
Our own @wouterwln & colleagues @ UAI: "What Type of Inference is Active Inference?" They show it's just variational inference explicit corrections: one makes planning, the others make curiosity. Ambiguous world? Curiosity wins. 🔗
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Out now in TMLR! 🚀 We formalize how epistemic priors transform Expected Free Energy minimization into a standard variational objective. This allows us to frame planning as a continuous variational optimization problem, moving away from combinatorial tree search. 👇
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Our policy-based inference outperforms plan-based methods under stochastic transitions and scales to MiniGrid where tabular active inference struggles. 📄 Paper: openreview.net/pdf?id=Kzm8I1…💻 JAX Code: github.com/biaslab/Epistemic… #ActiveInference #TMLR #MachineLearning

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Kudos to the TMLR team for a smooth submission process, and to my coauthors @ThijsvdLaar and @bertdv0
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Wouter Nuijten retweeted
Lancelot Da Costa@lancelotdacosta
1 Jul 2025
Looking for prospective students & collaborators to work towards *An Agent Foundation Model*! 👨‍💻👩‍💻 Keywords: Active model discovery, active learning & model based planning. More details: lancelotdacosta.com/research (bottom of page). If you’re interested, get in touch! 💡

Lancelot Da Costa - Research

Research Outline ‘What I cannot create, I do not understand’ (Feynman, 1988). We develop machines that learn and think like people, leveraging our most fundamental models of cognition and behaviour....

lancelotdacosta.com
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I'm in Copenhagen for @EurIPSConf this week, showing some work at the Epistemic Intelligence in ML workshop. If you're in town and want to link up, let me know! ​#EurIPS #MachineLearning #AI #Copenhagen
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Wouter Nuijten retweeted
Lazy Dynamics@LazyDynamics
20 Oct 2025
🏆 Best Technical Paper at @iwai_ws! Recasting EFE planning as Variational Inference → sample-efficient Active Inference agents that actually run. Built in RxInfer. Won by @wouterwln. Paper: arxiv.org/abs/2508.02197 Code: github.com/biaslab/EFEasVFE #IWAI2025 #RxInfer #Bayesian
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Recently at @lazydynamics, we needed a fine-grained scheduler, coupled to the machine clock, to build our multi-scale agents. To streamline development, I built `Gears.jl`, available now at github.com/lazydynamics/Gear…. We chose to make it public, so let me know what you think!

GitHub - lazydynamics/Gears.jl

Contribute to lazydynamics/Gears.jl development by creating an account on GitHub.

github.com
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In Active Inference, a lot of time is spent on computing Expected Free Energy. What if we could tweak the generative model such that EFE can be minimised with traditional variational inference methods?
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This is what we ask ourselves in our latest paper (arxiv.org/abs/2508.02197), where we solve Minigrid environments with Active Inference. (Spoiler, it works!) Code available at github.com/biaslab/EFEasVFE Done together with @mlmykola , @ThijsvdLaar and @bertdv0

A Message Passing Realization of Expected Free Energy Minimization

We present a message passing approach to Expected Free Energy (EFE) minimization on factor graphs, based on the theory introduced in arXiv:2504.14898. By reformulating EFE minimization as...

arxiv.org
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What's even nicer: because our method injects priors locally, everything still works within @ReactiveBayes ' RxInfer.jl using message passing. Special thanks to my colleagues at @LazyDynamics for making this possible!
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Wouter Nuijten retweeted
Bert de Vries@bertdv0
11 Jun 2025
Agreed with @fchollet on FEP (t.ly/s4gMV), but FEP is more than a pretty good idea, and there are more benefits to realizing an agent as an active inference (AIF) process beyond active data selection. I will mention a few below:

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Wouter Nuijten retweeted
Bert de Vries@bertdv0
24 Apr 2025
New paper alert! Active Inference (AIF) agents score policy candidates using a cost function called the Expected Free Energy (EFE), which has many desirable features, such as a parameter-free balance between information-seeking and goal-driven behavior. (1/4)
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Wouter Nuijten retweeted
ReactiveBayes@ReactiveBayes
7 Mar 2025
Turns out .ml doesn’t just stand for machine learning - it also means maybe lost :/ But hey, every project needs its "we lost our domain" story. Our just happened on Friday. Find us at rxinfer.com now. This time for real (probably).
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Catch me at @NeurIPSConf in Vancouver, BC this week! I will be at the conference all week, so feel free to hit me up for a drink (or five)! Saturday, I will present a poster at the Bayesian Decision Making workshop.
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Wouter Nuijten retweeted
ReactiveBayes@ReactiveBayes
22 Nov 2024
Exciting work from @ReactiveBayes developers (@mlmykola, @wouterwln, @bvdmitri, İsmail Şenöz) presented at the NeurIPS Bayesian Workshop! Riemannian Black Box VI (RBBVI) tackles non-differentiable, costly models. 📄 openreview.net/pdf?id=QBbc0L… 💻 github.com/biaslab/GradientF…
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Absolutely thrilled to announce that our work “Riemannian Black Box Variational Inference” has been accepted at the NeurIPS Workshop on Bayesian Decision-Making and Uncertainty! See you in December in Vancouver ;) openreview.net/pdf?id=QBbc0L…

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This work is together with @mlmykola , @bvdmitri , Ismail Senöz and @bertdv0
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Also, this week I am at @iwai_ws in Oxford to talk about Active Inference, so hit me up for a Free Energy Chat ;)
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A couple of weeks ago, I talked at @JuliaConOrg about one of my packages. The video is available here: youtu.be/7DFmyzgNeGQ?si=ukmT…

RxEnvironments: Reactive multi-agent environments | Nuijten |...

RxEnvironments: Reactive multi-agent environments by Wouter Nuijten...

youtube.com
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