Founder of @Prior_Labs, Prof of #machinelearning at ELLIS Institute Tübingen & Uni Freiburg, 3x ERC Grant holder, EurAI & ELLIS fellow. All opinions are my own.

Joined July 2018
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The tabular data science revolution is really here now! I’m thrilled to introduce *TabPFN Scaling Mode*, removing TabPFN’s previous limit on dataset size. The plot below shows scaling results for the biggest dataset we have tried so far (subsamples of 100k and 1M, and the full 10M rows / data points). While we’ve only benchmarked up to 10M rows (a 100x increase in the 3 weeks since the release of TabPFN-2.5!), the results indicate that we can just scale to any dataset size now 🚀 🧵1/4
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The data science revolution is here now. TabPFN-3 is live, taking tabular foundation models to enterprise scale 🤩 1M training rows on a single H100. No training. No tuning. Load and predict. 🧵 1/5 #tabpfn #tabularfoundationmodels #priorlabs
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Available three ways: 👉 Open weights for research & internal evaluation 👉 API with TabPFN-3-Plus & Thinking Mode 👉 Enterprise licensing (incl. AWS SageMaker, Azure AI Foundry, on-prem) Model report in replies. 🧵 5/5 With ❤️ from Prior Labs
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Model report: priorlabs.ai/reports/tabpfn-… Get started here: priorlabs.ai/tabpfn

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Huge news: @prior_labs has signed a definitive agreement to be acquired by @SAP. €1B invested over four years to build a globally-leading frontier AI lab for structured data — in Europe, in the open. Independent entity. Same team, same mission, same open models. A massive boost to what we can do. The mission just got accelerated. Founders’ statement: priorlabs.ai/blog-posts/prio… (Deal subject to regulatory approval; terms not disclosed.)

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This is a special moment for us at @prior_labs. I’ve followed @ylecun’s work since the start of my career. His relentless focus on "what’s next" in AI has always been an inspiration. Today, I’m proud to say that he is joining us as a scientific advisor to help build the future of Tabular Foundation Models. Yann understands that while LLMs have captured the world's attention, they have severe limitations. The vast majority of the world's data is tabular and LLMs are terrible with statistics and numbers. Our model, #TabPFN, fills this void, and the progress we are seeing is exponential. A warm welcome to the team, Yann. It’s an honor to work with you alongside @bschoelkopf, Madelon Hulsebos, and @SamuelMullr on this powerhouse board. #DeepLearning #DataScience #TabularData #AI
Honored to announce that Yann LeCun @ylecun is joining Prior Labs’ Scientific Advisory Board.
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The tabular data science revolution is really here now! I’m thrilled to introduce *TabPFN Scaling Mode*, removing TabPFN’s previous limit on dataset size. The plot below shows scaling results for the biggest dataset we have tried so far (subsamples of 100k and 1M, and the full 10M rows / data points). While we’ve only benchmarked up to 10M rows (a 100x increase in the 3 weeks since the release of TabPFN-2.5!), the results indicate that we can just scale to any dataset size now 🚀 🧵1/4
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3/4 More details in our blog post: priorlabs.ai/technical-repor…

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4/4 We’re currently working directly with customers to run TabPFN-2.5 Scaling Mode on their data. If you’re interested, please contact sales@priorlabs.ai to get on the waitlist.
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Update: TabPFN-2.5 is actually the SOTA model on all of TabArena (which has datasets with up to 100k training data points). In a single forward pass, TabPFN-2.5 outperforms all other models, even if you tune them for 4 hours. We built and previously evaluated TabPFN-2.5 for up to 50k data points (and 2k features) and were kind of surprised that it's SOTA up to 100k 🙂 👉 TabPFN-2.5 webinar tomorrow: app.livestorm.co/p/21526e44-… 👉 Model report on arXiv: arxiv.org/pdf/2511.08667
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The data science revolution continues — TabPFN is now SOTA up to 50k data points and 2000 features 🚀 For the size limits of TabPFNv2, in a forward pass Real-TabPFN-2.5 outperforms AutoGluon 1.4 (complex ensemble including TabPFNv2 tuned for 4h) by 93 ELO points on TabArena.🧵1/
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5/ I'm really surprised by the performance. We only aimed for a fairly incremental improvement with this release, but our fantastic team still delivered a step change. Big shoutout to all my amazing colleagues at @prior_labs!
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6/6 Please see the TabPFN-2.5 model report for details: priorlabs.ai/technical-repor… API: docs.priorlabs.ai/quickstart #tabpfn #priorlabs

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A new version of TabPFN will come out soon ... Our Discord community will get early access first. Ready to join the beta? discord.com/invite/VJRuU3bSx… #tabpfn #tabularfoundationalmodels #priorlabs
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