Associate Professor in Machine Learning @AaltoUniversity. Enjoying statistical machine learning. @ELLISforEurope Scholar. @yaf_fi

Helsinki, Finland
Fresh from the press: "Applied Stochastic Differential Equations" with @simosarkka and published by @CambridgeUP. Physical books: cambridge.org/fi/academic/su… Online PDF version: users.aalto.fi/~asolin/sde-b… Codes: github.com/AaltoML/SDE
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Arno Solin retweeted
Submissions will open soon for #AISTATS 2027 More info (soon) at: virtual.aistats.org/Conferen… Submission opens Sept 15th 2027 at 🌍 🕜 - Beijing: 7:30 PM - Paris: 1:30 PM - Montreal/NY: 7:30 AM - San Francisco: 4:30 AM - AOE: 11:30PM (Sept. 14th)
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Arno Solin retweeted
#AISTATS 2027 Call for Paper is out! This year's edition is taking place in Montreal on May 3-6th, 2027 🇨🇦 Aymeric Dieuleveut and I are chairing virtual.aistats.org/Conferen… New this year: AI review, and more! Abstract deadline: September 29, 2026 Paper deadline: October 6, 2026
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Arno Solin retweeted
I had the privilege of sitting down with @kchonyc for our new AI podcast "And humanity created intelligence". we discussed the backstory behind the attention paper as well as... 🧵
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Arno Solin retweeted
I joined Aalto University's podcast "And humanity created intelligence" for an episode on AI safety, including the recent OpenAI / Hugging Face attack. Many thanks to @ericmalmi and @arnosolin for a great conversation! piped.video/watch?v=nx0CeYeL…
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🎙️Katarina Slama, ex-OpenAI, discusses AI alignment and risks in our new episode of "And Humanity Created Intelligence" -- and, for the first time, this one is in English. 1/n
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We also talk about the early days of OpenAI, RLHF, and the ideas behind ChatGPT, immediate vs. catastrophic AI risks, AI consciousness and model welfare -- and, of course, p(doom). 4/n
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Arno Solin retweeted
SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis Yejun Zhang, Zihan Wang, Xu Ji, Yihao Wang, Yuxin Hou, Junyuan Fang, Juho-Matti Kilpeläinen, @arnosolin, Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala tl;dr: repurpose 3DGS reconstruction as a unified interface for pixel-level rendering, feature-level token guidance, visibility-aware view selection arxiv.org/abs/2608.16863
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🎧 AI-podcastin "Ja ihminen loi älyn" 2. jakso on ulkona. Vieraana emeritusproffa Erkki Oja, joka kehitti neuroverkkoja jo ennen kuin ne olivat tekoälyn valtavirtaa. 1/2
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Today I turn 40. 🎂 Four decades in, I still find myself doing what I enjoy most: learning new things, building ideas, and working with talented people on problems that were still science fiction when I was born.
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Thanks to family, friends, colleagues, and students who have been part of the journey so far. 🤗
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3D Gaussian splats are amazing--until you realise how much storage space they need. #SmolGS makes #3DGS actually small: explicit splats, tiny learned features w/ positional awareness, octree-coded geometry, and fast rendering. 🥇Now leading the #3DGSzip benchmark
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8/ Project page with more videos and material: aaltoml.github.io/Smol-GS
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