Cover Image

TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Tianqi, Wang, Guanyang, Tan, Yan Shuo, Zhang, Qiong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PFN-TS: Thompson Sampling for Contextual Bandits via Prior-Data Fitted Networks
by: Tan, Yan Shuo, et al.
Published: (2026)

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

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

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
by: Kim, Wall, et al.
Published: (2026)

EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
by: Arbel, Michael, et al.
Published: (2025)

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

GraphPFN: A Prior-Data Fitted Graph Foundation Model
by: Eremeev, Dmitry, et al.
Published: (2025)

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

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

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

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

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

State-Space Models for Tabular Prior-Data Fitted Networks
by: Koch, Felix, et al.
Published: (2025)

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

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

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

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

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

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

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

Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
by: McDowell, Samuel, et al.
Published: (2026)

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
by: Garg, Anurag, et al.
Published: (2025)

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

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

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

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

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models
by: Somvanshi, Shriyank, et al.
Published: (2025)

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

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

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

TabPFN for Zero-shot Parametric Engineering Design Generation
by: Wang, Ke, et al.
Published: (2026)

Realistic Evaluation of TabPFN v2 in Open Environments
by: Cheng, Zi-Jian, et al.
Published: (2025)

DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
by: Senthilnath, J., et al.
Published: (2022)

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

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

Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes
by: Somvanshi, Shriyank, et al.
Published: (2025)

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

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
by: Vu, Nguyen Gia Hien, et al.
Published: (2025)

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

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