Cover Image

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garg, Anurag, Ali, Muhammad, Hollmann, Noah, Purucker, Lennart, Müller, Samuel, Hutter, Frank
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
by: Helli, Kai, et al.
Published: (2024)

nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN
by: Pfefferle, Alexander, et al.
Published: (2025)

nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN
by: Pfefferle, Alexander Tobias, et al.
Published: (2025)

Does TabPFN Understand Causal Structures?
by: Swelam, Omar, et al.
Published: (2025)

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
by: Grinsztajn, Léo, et al.
Published: (2025)

FairPFN: A Tabular Foundation Model for Causal Fairness
by: Robertson, Jake, et al.
Published: (2025)

TabMGP: Martingale Posterior with TabPFN
by: Ng, Kenyon, et al.
Published: (2025)

TabPFN: One Model to Rule Them All?
by: Zhang, Qiong, et al.
Published: (2025)

A principled framework for uncertainty decomposition in TabPFN
by: Fortini, Sandra, et al.
Published: (2026)

TabPFN-3: Technical Report
by: Grinsztajn, Léo, et al.
Published: (2026)

TabPFGen -- Tabular Data Generation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)

From Tables to Time: Extending TabPFN-v2 to Time Series Forecasting
by: Hoo, Shi Bin, et al.
Published: (2025)

Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models
by: Bühler, Magnus, et al.
Published: (2026)

In-Context Data Distillation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)

Large Language Models Engineer Too Many Simple Features For Tabular Data
by: Küken, Jaris, et al.
Published: (2024)

Towards Benchmarking Foundation Models for Tabular Data With Text
by: Mráz, Martin, et al.
Published: (2025)

TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
by: Kolberg, Christopher, et al.
Published: (2025)

TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data
by: Cureton, Cormac, et al.
Published: (2026)

Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026)

TabPFN Through The Looking Glass: An interpretability study of TabPFN and its internal representations
by: Gupta, Aviral, et al.
Published: (2026)

uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
by: Lu, Sha, et al.
Published: (2026)

Early Stopping Tabular In-Context Learning
by: Küken, Jaris, et al.
Published: (2025)

FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)

How Usable is Automated Feature Engineering for Tabular Data?
by: Schäfer, Bastian, et al.
Published: (2025)

Interpretable Machine Learning for TabPFN
by: Rundel, David, et al.
Published: (2024)

Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure
by: Tugnoli, Davide, et al.
Published: (2026)

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
by: Liu, Si-Yang, et al.
Published: (2025)

Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
by: Choi, Jeongwhan, et al.
Published: (2025)

TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning
by: Luo, Jiaqi, et al.
Published: (2025)

Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data
by: Sergazinov, Renat, et al.
Published: (2025)

TabArena: A Living Benchmark for Machine Learning on Tabular Data
by: Erickson, Nick, et al.
Published: (2025)

Bayes' Power for Explaining In-Context Learning Generalizations
by: Müller, Samuel, et al.
Published: (2024)

TabPFN Extensions for Interpretable Geotechnical Modelling
by: Saito, Taiga, et al.
Published: (2026)

Is TabPFN the Silver Bullet for Insurance Pricing?
by: Deprez, Bruno, et al.
Published: (2026)

Uncertainty-Aware Tabular Prediction: Evaluating VBLL-Enhanced TabPFN in Safety-Critical Medical Data
by: Ramalingam, Madhushan
Published: (2025)

TabCF: Distributional Control Function Estimation with Tabular Foundation Models
by: Chen, Geping, et al.
Published: (2026)

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms
by: Hu, James, et al.
Published: (2026)

Gradient Free Deep Reinforcement Learning With TabPFN
by: Schiff, David, et al.
Published: (2025)

What exactly has TabPFN learned to do?
by: McCarter, Calvin
Published: (2025)

Do-PFN: In-Context Learning for Causal Effect Estimation
by: Robertson, Jake, et al.
Published: (2025)