Image de couverture de livre

Robust Tabular Foundation Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Peroni, Matthew, Le, Franck, Sheinin, Vadim
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
par: Qu, Jingang, et autres
Publié: (2025)

Distilling Tabular Foundation Models for Structured Health Data
par: Tanna, Aditya, et autres
Publié: (2026)

In-context Learning of Evolving Data Streams with Tabular Foundational Models
par: Lourenço, Afonso, et autres
Publié: (2025)

TabDPT: Scaling Tabular Foundation Models on Real Data
par: Ma, Junwei, et autres
Publié: (2024)

LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
par: Ipas, Oroel, et autres
Publié: (2026)

Tabular Foundation Models Can Learn Association Rules
par: Karabulut, Erkan, et autres
Publié: (2026)

Is One Layer Enough? Understanding Inference Dynamics in Tabular Foundation Models
par: Balef, Amir Rezaei, et autres
Publié: (2026)

Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap
par: Tanna, Aditya, et autres
Publié: (2026)

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
par: Nguyen, Duong, et autres
Publié: (2026)

TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
par: Tanna, Aditya, et autres
Publié: (2025)

Shaping the Prior: How Synthetic Task Distributions Determine Tabular Foundation Model Quality
par: Bouadi, Mohamed, et autres
Publié: (2026)

Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
par: Wang, Yingshuo, et autres
Publié: (2026)

Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models
par: Gangwani, Ishaan, et autres
Publié: (2025)

FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
par: Shen, Yuchen, et autres
Publié: (2024)

Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
par: Landsgesell, Jonas, et autres
Publié: (2026)

Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models
par: Tanna, Aditya, et autres
Publié: (2026)

Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding
par: Klein, Tassilo, et autres
Publié: (2025)

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
par: Sinodinos, Dimitrios, et autres
Publié: (2025)

Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models
par: Lim, Yebin, et autres
Publié: (2025)

Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
par: Ren, Weijieying, et autres
Publié: (2025)

OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale
par: Jiang, Dihong, et autres
Publié: (2026)

Automated Model Selection for Tabular Data
par: Amballa, Avinash, et autres
Publié: (2024)

Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift
par: Brima, Yusuf, et autres
Publié: (2026)

Provably Robust Adaptation for Language-Empowered Foundation Models
par: Lai, Yuni, et autres
Publié: (2025)

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
par: Garg, Anurag, et autres
Publié: (2025)

Robust Detection of Synthetic Tabular Data under Schema Variability
par: Kindji, G. Charbel N., et autres
Publié: (2025)

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
par: Yang, Yazheng, et autres
Publié: (2023)

Intensive Care as One Big Sequence Modeling Problem
par: Liventsev, Vadim, et autres
Publié: (2024)

TabularQGAN: A Quantum Generative Model for Tabular Data
par: Bhardwaj, Pallavi, et autres
Publié: (2025)

Comparing Task-Agnostic Embedding Models for Tabular Data
par: Hoppe, Frederik, et autres
Publié: (2025)

Generating Realistic Tabular Data with Large Language Models
par: Nguyen, Dang, et autres
Publié: (2024)

A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT Systems
par: She, Yuanya
Publié: (2025)

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms
par: Hu, James, et autres
Publié: (2026)

Assessing the Robustness of Climate Foundation Models under No-Analog Distribution Shifts
par: Navarro, Maria Conchita Agana, et autres
Publié: (2026)

Diffusion and Flow Matching Models for Tabular Data: A Survey
par: Li, Zhong, et autres
Publié: (2025)

Towards Understanding Layer Contributions in Tabular In-Context Learning Models
par: Balef, Amir Rezaei, et autres
Publié: (2025)

A Model of Causal Explanation on Neural Networks for Tabular Data
par: Isozaki, Takashi, et autres
Publié: (2025)

Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression
par: Gerber, Luciano, et autres
Publié: (2026)

TabularMath: Evaluating Computational Extrapolation in Tabular Learning via Program-Verified Synthesis
par: Cheng, Zerui, et autres
Publié: (2026)