TabPFN outperforms published models on three energetic-material properties
Untuned TabPFN on Chemprop embeddings beats Chemprop itself and is more than ten times faster than XGBoost.
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Product
XGBoost
- Mentions · 7d1
- Mentions · 30d3
- All mentions4
- First seenSep 17, 2026
- Last mentioned1d ago
Timeline
4 articles · newest firstVX-One study tests typed decision heads for perimeter triage
A 100K–10M-parameter model is measured against XGBoost and a Suricata cascade on public IDS sets.
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VX-One study tests typed heads for real-time perimeter triage
Under CIC-IDS2017 drift VX-One leads detection, but calibration error rises from 0.04 to 0.40 for every method.
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LLM Classification Is Feature Engineering
Argues LLM classifiers should feed a downstream logistic regression, yielding calibration, threshold control, and principled use of structured covariates.
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Appears with
- Microsoftvendor · 2
- VX-Oneai model · 2
- Suricataproduct · 2
- Kitsuneproduct · 2
- Microsoft-Decision-1ai model · 2
- LLMai model · 1
- TypeSafe Jevai model · 1
- Chempropproduct · 1
- TabPFNai model · 1
- TypeSafe Jevproduct · 1
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