Image de couverture de livre

Statistically Accurate and Robust Generative Prediction of Rock Discontinuities with A Tabular Foundation Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Meng, Han, Mei, Gang, Tian, Hong, Xu, Nengxiong, Peng, Jianbing
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Accurate and Robust Generative Approach for Overcoming Data Sparsity and Imbalance in Landslide Modeling with A Tabular Foundation Model
par: Shao, Kaixuan, et autres
Publié: (2026)

Simple and Robust Forecasting of Spatiotemporally Correlated Small Earth Data with A Tabular Foundation Model
par: Yang, Yuting, et autres
Publié: (2025)

Knowledge-Data Dually Driven Paradigm for Accurate Landslide Susceptibility Prediction under Data-Scarce Conditions Using Geomorphic Priors and Tabular Foundation Model
par: Yang, Yuting, et autres
Publié: (2026)

Tracking the Spatiotemporal Evolution of Landslide Scars Using a Vision Foundation Model: A Novel and Universal Framework
par: Zhou, Meijun, et autres
Publié: (2025)

Robust Tabular Foundation Models
par: Peroni, Matthew, et autres
Publié: (2025)

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models
par: Sidorenko, Andrey
Publié: (2025)

Tabular Foundation Model for Generative Modelling
par: Jiang, Xiangjian, et autres
Publié: (2026)

CTSyn: A Foundation Model for Cross Tabular Data Generation
par: Lin, Xiaofeng, et autres
Publié: (2024)

Tabular Foundation Models are Strong Graph Anomaly Detectors
par: Liu, Yunhui, et autres
Publié: (2026)

Rainfall-induced Mass Movement as Self-organization Process
par: Ma, Zhengjing, et autres
Publié: (2025)

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
par: Ding, Yilang, et autres
Publié: (2025)

TabularFM: An Open Framework For Tabular Foundational Models
par: Tran, Quan M., et autres
Publié: (2024)

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses
par: Djilani, Mohamed, et autres
Publié: (2025)

Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models
par: Bühler, Magnus, et autres
Publié: (2026)

On Finetuning Tabular Foundation Models
par: Rubachev, Ivan, et autres
Publié: (2025)

Turning Tabular Foundation Models into Graph Foundation Models
par: Eremeev, Dmitry, et autres
Publié: (2025)

TabH2O: A Unified Foundation Model for Tabular Prediction
par: Pfeiffer, Pascal, et autres
Publié: (2026)

A Mechanistic Study of Tabular Foundation Models
par: Biloš, Marin, et autres
Publié: (2026)

Uncertainty-Guided Model Selection for Tabular Foundation Models in Biomolecule Efficacy Prediction
par: Li, Jie, et autres
Publié: (2025)

Can Graphs Improve Tabular Foundation Models?
par: Le, Franck, et autres
Publié: (2025)

Real-Time Explanations for Tabular Foundation Models
par: Sena, Luan Borges Teodoro Reis, et autres
Publié: (2026)

Active In-Context Learning for Tabular Foundation Models
par: Treerath, Wilailuck, et autres
Publié: (2026)

Exploring Fine-Tuning for Tabular Foundation Models
par: Tanna, Aditya, et autres
Publié: (2026)

End-to-End Compression for Tabular Foundation Models
par: Zabërgja, Guri, et autres
Publié: (2026)

On the Uncertainty Quantification Ability of Tabular Foundation Models
par: Johnson, Tyler R., et autres
Publié: (2026)

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
par: Zhang, Xiyuan, et autres
Publié: (2025)

Generalization Can Emerge in Tabular Foundation Models From a Single Table
par: Ma, Junwei, et autres
Publié: (2025)

TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
par: Arazi, Alan, et autres
Publié: (2025)

TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models
par: Liao, Tianyin, et autres
Publié: (2026)

Towards Fair In-Context Learning with Tabular Foundation Models
par: Kenfack, Patrik, et autres
Publié: (2025)

Towards Benchmarking Foundation Models for Tabular Data With Text
par: Mráz, Martin, et autres
Publié: (2025)

Tabular Foundation Models Can Do Survival Analysis
par: Kim, Da In, et autres
Publié: (2026)

VIP-COP: Context Optimization for Tabular Foundation Models
par: Chen, Yilong, et autres
Publié: (2026)

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation
par: Byun, Jessup, et autres
Publié: (2025)

From Projection to Prediction: Beyond Logits for Scalable Language Models
par: Dong, Jianbing, et autres
Publié: (2025)

From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
par: Wen, Xumeng, et autres
Publié: (2023)

Why Tabular Foundation Models Should Be a Research Priority
par: van Breugel, Boris, et autres
Publié: (2024)

GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
par: Mueller, Andreas, et autres
Publié: (2024)

TabQL: In-Context Q-Learning with Tabular Foundation Models
par: Liu, Qisai, et autres
Publié: (2026)

Interpretable Tabular Foundation Models via In-Context Kernel Regression
par: Miftachov, Ratmir, et autres
Publié: (2026)