GIST: Generator-state-Informed Supervision for Tabular Foundation Models
cs.LG
Submitted: 2026-10-09
Updated: 2026-10-09
Terminology
Sources
- Toward Privileged Foundation Models:LUPI for Accelerated and Improved Learning
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
- Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
- TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
- Estimating Mixture Entropy with Pairwise Distances
- TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention
- Beyond IID: How General Are Tabular Foundation Models, Really?
- TabICLv2: A better, faster, scalable, and open tabular foundation model
- Likelihood-free inference with an improved cross-entropy estimator
- A Closer Look at Deep Learning Methods on Tabular Datasets
- Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks