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Cees Snoek

@cgmsnoek.bsky.social
359 followers 392 following 16 posts

Head of Video & Image Sense Lab | University of Amsterdam | Scientific Director Amsterdam AI | www.ceessnoek.info

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Reposted by Cees Snoek
Emile van Krieken @emilevankrieken.com · 01/09/2026
We're hiring a postdoc on Neurosymbolic World Models in the Learning and Reasoning group! The position is together with Filip Ilievski and @cgmsnoek.bsky.social, and offers the possibility for PhD co-supervision. Feel free to reach out to us for any questions! workingat.vu.nl/vacancies/po...
workingat.vu.nl
Vacancy — Postdoc Neurosymbolic Reasoning in Multimodal World Models
Are you passionate about cutting-edge research on multimodal reasoning, operating in an international research environment, and co-supervising PhD students? Then keep reading: this 2-year fully-funded...
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Reposted by Cees Snoek
Het Financieele Dagblad @fd.nl · 01/07/2026
De nieuwe generatie modellen leert AI zich in de echte wereld te bewegen
fd.nl
De nieuwe generatie modellen leert AI zich in de echte wereld te bewegen
Die belofte brengt miljarden aan investeringen op gang. Is dit de next big thing of zijn de miljardeninvesteringen een beetje voorbarig
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Reposted by Cees Snoek
Evangelos Kazakos @ekazakos.bsky.social · 23/12/2025
Robo Santa is here! 🎅🤖 We introduce REALM, a real-to-sim validated benchmark for robot manipulation. High-fidelity simulation + aligned control = real-world proxy. Stress-test your policy! 👇 Web martin-sedlacek.com/realm/#takea... GH github.com/martin-sedla... arXiv arxiv.org/abs/2512.19562 1/4
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Vladimir Yugay @vyuga3d.bsky.social · 07/10/2025
📽️ Check out Visual Odometry Transformer! VoT is an end-to-end model for getting accurate metric camera poses from monocular videos. vladimiryugay.github.io/vot/
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Reposted by Cees Snoek
Marzieh Fadaee @mziizm.bsky.social · 09/07/2025
🖼️ Most text-to-image models only really work in English. This limits who can use them and whose imagination they reflect. We asked: can we build a small, efficient model that understands prompts in multiple languages natively?
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Reposted by Cees Snoek
Laurens Verhagen @laurensvhg.eurosky.social · 03/05/2025
Wie heeft toegang tot computerkracht tbv AI? Vooral big Tech. Een paar jaar geleden was dat nog de overheid. Illustratief: Musks xAI heeft 200.000 Nvidia-chips, de gehele Nederlandse wetenschap 650. www.volkskrant.nl/tech/de-over...
volkskrant.nl
De overheid heeft het nakijken met AI-supercomputers: ‘We zijn overgeleverd aan big tech’
De AI-revolutie draait, behalve op grote hoeveelheden data, op gigantische en energieslurpende computerparken. In een paar jaar tijd is het krachtenveld verschoven van publieke naar commerciële partij...
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Cees Snoek @cgmsnoek.bsky.social · 15/03/2025
Congratulations dr. Tom van Sonsbeek 🥳
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Cees Snoek @cgmsnoek.bsky.social · 26/02/2025
Congratulations Dr. @phillip-lippe.bsky.social 🥳
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Cees Snoek @cgmsnoek.bsky.social · 03/02/2025
✨ The VIS Lab at the #University of #Amsterdam is proud and excited to announce it has #TWELVE papers 🚀 accepted for the leading #AI-#makers conference on representation learning ( #ICLR2025 ) in Singapore 🇸🇬. 1/n 👇👇👇 @ellisamsterdam.bsky.social
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ELLIS unit Amsterdam @ellisamsterdam.bsky.social · 16/01/2025
📢 There is still time to submit your application for the 2nd ELLIS Winter School on Foundation Models in 2025 which will be held from 18-21 March 2025 in Amsterdam!
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ELLIS unit Amsterdam @ellisamsterdam.bsky.social · 13/12/2024
We are excited to announce the 2nd ELLIS Winter School on Foundation Models in 2025, 18-21 March in Amsterdam. Secure your spot! ✨ 🔗 Visit ivi.fnwi.uva.nl/ellis/events... 🚀 Apply forms.gle/bYbZi9J7NzCb... #AI #ML #foundationmodels #ELLISforEurope #ELLISunitAmsterdam
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Reposted by Cees Snoek
Christina Sartzetaki @sargechris.bsky.social · 11/12/2024
📢 New preprint! We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos! Here’s a quick breakdown:🧵⬇️ www.biorxiv.org/content/10.1...
biorxiv.org
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
What can we learn from comparing video models to human brains, arguably the most efficient and effective video processing systems in existence? Our work takes a step towards answering this question by...
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