Prior Labs enabled the TabPFN package to read out attention weights from the TabPFNClassifier and developed intuitive ways to plot these votes.
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Tabular Foundation Models unlock new interpretability methods. They are usually represented as black-box model, much less understandable than gradient boosting. Yet, in-…
Company
Prior Labs
Building tabular foundation models
- Industry
- Technology, Information and Internet
- Location
- Freiburg / Berlin, DE
- Company size
- 51–200 employees
About Prior Labs
Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the lifeblood of science and business. While foundation models have transformed text and images, tabular data has remained largely untouched. We're tackling this opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence. Backed by Balderton Capital, XTX Ventures, SAP Founder Hans Werner-Hector's Hector Foundation, Atlantic Labs, Galion.exe and top AI leaders such as Peter Sarlin, Guy Podjarny, Thomas Wolf, Ed Grefenstette, Robin Rombach, Christopher Lynch and Ash Kulkarni.
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Latest activity from Prior Labs
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Presence & Recognition
Prior Labs joined SAP to mark the moment with Dr. Philipp Herzig, Jonathan von Rüden, Frank Hutter, and Sauraj Gambhir on stage in downtown San Francisco.
Presence & Recognition
Prior Labs is hosting the first edition of its dinner series featuring an Italian dinner with a small group of AI researchers in NYC on Sept 17.
Research & Knowledge
Prior Labs published a new cookbook forecasting German day-ahead electricity prices and explaining the results using TabPFN time-series forecasts with partial dependence, Window SHAP, and additive decomposition.
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