Author

Xinshuai Dong

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#machine learning Preprint Oct 2026

TAFFY: A Task-Adaptive Tabular Foundation Model with In-Context Diversity

Recent progress in tabular foundation models suggests that training on synthetic tasks can substantially improve in-context learning capabilities, with overall performance largely depending on how well models can infer task-specific predictive relationships from the available context during inference. In this paper, we...

Zi-Jian Li, Xiang-Chen Song, Gong-Xu Luo et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Hessian Rank Constraint for Learning Structure of Nonlinear Latent Variable Models

A condition called the cross-Hessian Rank Constraint (HRC), which serves as a primitive rank-based tool for nonlinear latent causal discovery, shows that a rank-based property arises from the cross-Hessian of the observed-data log-density in the nonlinear case, revealing information about the latent variables.

Zi-Jian Li, Rui-Chu Cai, Feng Xie et al. · 0 citations