most citedLimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

3 citations · 3 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2026

CAFE: Counterfactual Prediction via Fast Posterior Estimation

Xinyan Han, Xiaoyu Lin, Hao Zou +3

Counterfactual prediction estimates an individual's outcome under an alternative intervention given their factual observations. Such outcomes are generally not identifiable from ob…

cs.AI2026

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

Xingxuan Zhang, Gang Ren, Hao Yuan +57

We introduce LimiX-2, a new model in the LimiX family, developed through model and data scaling guided by our previously established scaling laws. LimiX-2 adopts the Contextual Mec…

cs.LG2026

SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models

Yi He, Zhengkang Guan, Anpeng Wu +3

Tabular data are ubiquitous in real-world applications and are crucial for data-driven prediction and decision-making across science, industry, finance, healthcare, and public serv…

cs.LG2026

DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms

Yikang Chen, Zhengkang Guan, Haoyuan Qian +5

Causal discovery from observational tabular data remains fundamentally challenging, primarily due to the heterogeneity of underlying causal mechanisms and the high-dimensional comb…

cs.LG2026

A Knowledge-Informed Pretrained Model for Causal Discovery

Wenbo Xu, Yue He, Yunhai Wang +4

Causal discovery has been widely studied, yet many existing methods rely on strong assumptions or fall into two extremes: either depending on costly interventional signals or parti…

cs.LG2025

Environment Inference for Learning Generalizable Dynamical System

Shixuan Liu, Yue He, Haotian Wang +4

Data-driven methods offer efficient and robust solutions for analyzing complex dynamical systems but rely on the assumption of I.I.D. data, driving the development of generalizatio…

cs.LG2025★ 3 cited

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

Xingxuan Zhang, Gang Ren, Han Yu +35

We argue that progress toward general intelligence requires complementary foundation models grounded in language, the physical world, and structured data. This report presents Limi…