Pierre Alquier reposted
A list of principles put forth by mathematicians, for mathematicians and other researchers, regarding the use of AI in research. "Number #9 will surprise you!" leidendeclaration.ai
Who's Who of AI
Pierre Alquier
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
What they're sharing
Leiden Declaration on Artificial Intelligence and Mathematics leidendeclaration.ai
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[2605.23225] Entropy Equivalence Testing arxiv.org
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Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering arxiv.org
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youtube.com
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Data science is not AI, but it is its genesis and its new frontier blog.probabl.ai
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Articles & links
Pierre Alquier reposted
New preprint up, led by Joy (Qiping) Yang and Yash Pote, with Jonathan Scarlett: we consider a relaxation of the standard (distribution) closeness testing task, where the algo now only needs to distinguish between p=q (equal) and |H(p)-H(q)|=Ω(1) (their entropies differ). 📝 ar…
Pierre Alquier reposted
My first PhD student Xianliang worked hard out this: In Muon, polar decomposition should always precede momentum, which significantly improves signal recovery. I'm excited to share this since few theory has been working on the benefit of momentum in Muon! arxiv.org/abs/2606.03899
Pierre Alquier reposted
Video of the talk I gave at the Cultural AI conference at NYU back in March is finally up (thanks again to @leifw.bsky.social and @t-shoemaker.bsky.social for having arranged this excellent event). www.youtube.com/watch?v=iYu9...
Pierre Alquier reposted
In this high-level yet detailed blog post, I expend on the statistics that hold together AI and data science: blog.probabl.ai/data-science...
Their own posts
Recent commentary
We had a beautiful session on Markov chains in machine learning at the IMS Pacific Rim Meeting! Talks by Geoffrey Wolfer (Tokyo University of Agriculture and Technology), Vahe Karagulyan (ESSEC) and Daniel Paulin (NTU Singapore).
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