Open-source | Reactive & Scalable Bayesian Inference | Efficient probabilistic modeling with @JuliaLanguage. https://xitter.cf/t.co/mnjjcCj9w0
Eindhoven, the Netherlands
Joined March 2024
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🎉 Big news: RxInfer.jl is now a @NumFOCUS Affiliated Project! Born from PhD research on reactive message passing, it’s now an open-source tool for fast, scalable Bayesian inference — and part of a world-class ecosystem #JuliaLang #BayesianInference #NumFOCUS #OpenSource
ReactiveBayes retweeted
This is a cool Julia version of my Jax library for Bayesian Structural Time Series modeling (github.com/probml/sts-jax) from the folks at @ReactiveBayes. It can easily handle non-linear and non-conjugate likelihoods (eg Poisson distribution for integer count observations). For inference, it uses a very fast variational message passing algorithm (combined with data augmentation and local MC approximations for non-conjugate messages).
In this example, they infer the latent states of the SSM as well as the model parameters (representing how the continuous latent demand evolves over time). But their RxInfer.jl library also supports inference in many other kinds of graphical model (see examples.rxinfer.com/).
New Bayesian Structured Time Series example: predicting taco demand during #NeurIPS 2025 ⚡️ Learnable Dynamics 🔢 Non-Conjugacies 🏎️ Blazing Speed examples.rxinfer.com/categor…
#JuliaLang #BayesianInference #DataScience
New Bayesian Structured Time Series example: predicting taco demand during #NeurIPS 2025 ⚡️ Learnable Dynamics 🔢 Non-Conjugacies 🏎️ Blazing Speed examples.rxinfer.com/categor…
#JuliaLang #BayesianInference #DataScience
ReactiveBayes retweeted
🏆 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
ReactiveBayes retweeted
🚀 We’re open-sourcing Gears.jl — a Julia package for precise task scheduling in simulation environments! ⚙️
Run timed, event-based, or ASAP jobs with flexible schedulers, multiple clocks, and multi-threading.
🔗 github.com/lazydynamics/Gear…
#JuliaLang #OpenSource #Agents
We've been seeing some cool examples of fast Bayesian inference + LLMs - from trust/reliability to LLMs participating in inference (even learning to derive variational rules!).
Check out the examples: examples.rxinfer.com/
We’re on Discord! 🎧🚀
Moving beyond GitHub discussions—join the new RxInfer server (by @LazyDynamics ) to chat, ask Qs, get updates, and plan hackathons.
Jump in: discord.gg/UvMhrbQh
#RxInfer #BayesianInference #ProbabilisticProgramming
We’re on Discord! You asked for better community engagement around RxInfer & RxInfer Pro—so here it is.
Join us for Q&A, updates, hackathons & more. It’s quiet now, but let’s build it together.
📷 discord.gg/UvMhrbQh
#RxInfer #BayesianInference #ProbabilisticProgramming
ReactiveBayes retweeted
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?
🧠 We hooked LLMs into Bayesian inference in 30 minutes
ChatGPT as a native node in message-passing. Working sentiment clustering with uncertainty quantification.
📖 Notebook: examples.rxinfer.com/categor…
#BayesianInference #LLM
ReactiveBayes retweeted
rxinfer.com can be powerful for robotics - but requires deep probabilistic programming knowledge.
What if there was a simpler way?
LLM → RxInfer → Robotics = 𝗖𝘂𝗿𝘀𝗼𝗿 𝗳𝗼𝗿 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀?
#RxInfer #Robotics #LLM #CursorForRobotics #AIRobotics
83%🎯 Hit
17%🎭 Miss
6 votes • Final resultsCheck out our DeepWiki page - it looks pretty accurate!
deepwiki.com/ReactiveBayes/R…
Thanks to @cognition_labs!
🎯 New Contextual Multi-Armed Bandits example in RxInferExamples.jl!
Fresh take using message passing inference.
No MCMC, no hyperparameters - just principled decision making.
examples.rxinfer.com/categor…
#BayesianML #JuliaLang #RxInfer
ReactiveBayes retweeted
100%.
The full video of my Upper Bound 2025 talk about our research directions should be available at some point, but here are my slides:
docs.google.com/presentation…
And here are the notes I made while preparing, which are more extensive than what I had time to say:
docs.google.com/document/d/1…
I had managed to go my entire career without making a slide deck. People generally seem happy enough to just let me ramble on for talks, but since I am new to the research community, I made an effort here!
ReactiveBayes retweeted
🚀Behind the scenes at Lazy Dynamics: We are working on Cortex, our future reactive message-passing backend for RxInfer! Designed for fast, reliable, and asynchronous probabilistic inference on edge devices.
Ideal for robotics, audio processing, and more.
github.com/ReactiveBayes/Cor…
That is 🤯
🚀 What do Bayesian inference and skydiving have in common? Both demand trust under uncertainty. Our CTO @bvdmitri used RxInfer to clean up noisy pose estimates from his 500th skydive — showing how probabilistic inference fills the gaps where standard ML fails #Bayes #Skydiving
Probabilistic modeling in Julia just got smoother. With RxInfer + GraphPPL, you write models like regular code — loops, functions, submodels — and it handles the inference under the hood.
From simple regressions to massive hierarchies.
Check it out 👇 examples.rxinfer.com/
Thanks to @LazyDynamics for open-sourcing latent vector autoregressive model for RxInfer! Handles 20 5th-order AR processes, 2000 noisy obs, and 50-step predictions in 3s.
🔗examples.rxinfer.com/categor…
#ProbabilisticProgramming #OpenSource #RxInfer
