21.02.2026 10:55
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The invited NeurIPS talk by Zeynep Tufekci. Very interesting'
In this paper with my amazing colleague we tried to attack probability foundations from the metric space theory perspective.
In this paper with my amazing colleague we tried to attack probability foundations from the metric space theory perspective.
Wouter W. L. Nuijten, Mykola Lukashchuk: Active Inference is a Subtype of Variational Inference https://arxiv.org/abs/2511.18955 https://arxiv.org/pdf/2511.18955 https://arxiv.org/html/2511.18955
Rapha\"el Tr\'esor, Mykola Lukashchuk: Resolution of the Borel-Kolmogorov Paradox via the Maximum Entropy Principle https://arxiv.org/abs/2509.24735 https://arxiv.org/pdf/2509.24735 https://arxiv.org/html/2509.24735
Grinding the Silksong is a great self-reflection instrument
Kyrylo Yemets, Mykola Lukashchuk, Ivan Izonin: GateTS: Versatile and Efficient Forecasting via Attention-Inspired routed Mixture-of-Experts https://arxiv.org/abs/2508.17515 https://arxiv.org/pdf/2508.17515 https://arxiv.org/html/2508.17515
I wonder maybe you have any source for this statement. thanks!
Introducing TidierErrors.jl, an experimental #JuliaLang package that makes error messages tidier with the help of LLMs (with support for local LLMs!)
github.com/TidierOrg/Ti...
Developed by @randy.pub
Left: original error message
Right: tidier error message
Fixed it for you...
Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar, Bert de Vries: A Message Passing Realization of Expected Free Energy Minimization https://arxiv.org/abs/2508.02197 https://arxiv.org/pdf/2508.02197 https://arxiv.org/html/2508.02197
If you're running optimization procedures and struggling with learning rate tuning, I found a simple, effective method that works with any optimizer: DoG arxiv.org/pdf/2302.12022. The formula is elegant and easily generalizes to Riemannian manifolds.
Ah definitely this one is the last one.
It is alive! It is alive!
It is alive! It is alive!
Bad news: Overleaf is down. The only way to edit LaTeX known to humankind!
Noooooo
Noooooo
Submission deadline is May 15th, fire away!
juliacon.org/local/paris2...
A new nice paper from my lab.
My friends at Lazy Dynamics just launched Python support for RxInfer models! 🚀
Check it out: lazydynamics.github.io/RxInferClien...
Julia + Fast Bayesian Inference + Python = ¿Por qué no los tres?
P.S. Maybe this will finally get them on Bluesky... 😂
