LimiX-2 (AI model): news timeline & CVEs

NVIDIA Releases Kumo Tabular: Open Tabular Foundation Models That Predict New Rows in a Single Forward Pass

NVIDIA released Kumo Tabular, open tabular models that predict new rows in one forward pass.

NVIDIA released Kumo Tabular, tabular foundation models in Small, Medium, and Large sizes from about 28 million to 215 million parameters. They classify or regress new rows in one forward pass from labeled context, with no per-dataset training or feature engineering. Weights ship under OpenMDW-1.1, which permits commercial use, and run through the Apache-2.0 structured-data-models library. NVIDIA reports a TabArena Elo of 1950 and 17x faster inference than LimiX-2 on one RTX 6000 Pro; training used only synthetic structural causal model tables.

MarkTechPost06:57 UTC · 16h agoModel release 2 sources

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence

LimiX-2, a tabular foundation model built on Contextual Mechanism Networks, outperforms existing tabular models on TabArena, TALENT, and BCCO.

Researchers introduced LimiX-2, a new model in the LimiX family that adopts the Contextual Mechanism Networks (CMNs) paradigm and is pretrained with Context-Conditional Masked Modeling (CCMM) on synthetic datasets generated by structural causal models. Unlike tabular PFNs centered on p(y | x, D_context), CMNs learn mechanism-oriented joint modeling of p(x, y | D_context). Evaluations on TabArena, TALENT, and BCCO show LimiX-2 outperforms current dataset-specific models and tabular foundation models. Its feature attention also encodes direct causal relationships, enabling accurate causal skeleton recovery.

Hugging Face daily papersSep 14, 20:00 UTC · 17d agoAI research

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NVIDIA Releases Kumo Tabular: Open Tabular Foundation Models That Predict New Rows in a Single Forward Pass

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence