Tabular Prior-Data Fitted Network

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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LinearPFN: Amortized Variable Selection for Linear Models with Interactions
Oct 5, 2026Louis Schiekiera, Max Zimmer, Christophe Roux +3Tabular Prior-Data Fitted Network
Institute of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany · Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany · Department for AI in Society, Science, and Technology, Zuse Institute Berlin, Germany +1
IQS-BO: In-Context Query Selection for Bayesian Optimisation
Oct 1, 2026Luca Geminiani, Nadja KleinTabular Prior-Data Fitted Network Prompt Optimization
Scientific Computing Center (SCC), Karlsruhe Institute of Technology (KIT)
Evidence Before Accuracy: A MRI-PET Fusion Network for Alzheimer Disease Classification with Causal Regional Validation
Sep 28, 2026Saeid Firouzi Daghigh, Saeed AyatAlzheimer Brain Tumor Classification
Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran
M $^2$ PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease
Sep 23, 2026Lujia Zhong, Shuo Huang, Jianwei Zhang +2Alzheimer Multimodal Neuroimaging
Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA · Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA · Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization
Sep 16, 2026Lu Han, Jin Wang, Yuchen Li +5Surrogate Models Tabular Foundation Models
School of Artificial Intelligence, Xidian University, Xi’an 710071, China
Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM Architecture
Sep 14, 2026Sourish Dey, Aditya KumarTabular Foundation Models Agentic Reasoning
Machine Learning SumUp, Berlin
TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification
Aug 31, 2026Jérémie Stym-Popper, Clément Rambour, Federica Granese +2Tabpfn Medical World Model
Sorbonne Université, CNRS, ISIR, MLIA, F-75005 Paris, France · Inria, CNRS, I3S, Université Côte d’Azur, Valbonne, France · INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, LYON, France +1
Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?
Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronElectricity Price Forecasting Tabular Prior-Data Fitted Network
Department of Computational Social Science, Wrocław University of Science and Technology, Poland · Department of Operations Research and Business Intelligence, Wrocław University of Science and Technology, Poland · Center for Research in Energy (CoRE), Aarhus University, 8000 Aarhus C, Denmark
Balanced Adaptive Prototype Selection for Scalable TabPFN Inference on Large-Scale Tabular Data
Aug 13, 2026Mahboobe Jadid, Melika Rezaye Garkani, Ali MousaviTabular Foundation Models Tabular Prior-Data Fitted Network
Department of Computer Engineering Ne. C., Islamic Azad University Neyshabur, Iran
Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models
Aug 8, 2026Jianqi Zhang, Xingyu Zhang, Zeen Song +3Time Series Foundation Models Reinforcement Learning Post-Training
Institute of Software, Chinese Academy of Sciences, Beijing, China
Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction
Aug 5, 2026Quinn Ledingham, Zhengsen Xu, Yimin Zhu +6Wildfire Prediction Rainfall
Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada
TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model
Aug 4, 2026Gabriel da Costa Merlin, Diego Furtado SilvaTime-Series Classification Tabular Prior-Data Fitted Network
University of São Paulo (USP), São Carlos, SP, Brazil
NOMADD: Numerical Optimization of Models Adapting to Data Drift
Aug 3, 2026Swapn Shah, Keith BurghardtTabular Prior-Data Fitted Network Tabular Learning
University of North Carolina at Charlotte
From field-scale to large-scale spectral libraries: Tabular foundation models in soil spectroscopy
Aug 1, 2026Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers +1Soil Laser-Induced Breakdown Spectroscopy
Osnabrück University, Joint Lab Artificial Intelligence and Data Science, Osnabrück, Germany · Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Agromechatronics, Potsdam, Germany · German Research Center for Artificial Intelligence (DFKI), Cooperative and Autonomous Systems (CAS), Osnabrück, Germany
Curriculum Matters: Data-Efficient Relational PFN Pretraining with Synthetic Data
Jul 31, 2026Mohammad Sadeq Abolhasani, Viswanath GanapathyTabular Prior-Data Fitted Network Table Reasoning Datasets
SAP Labs, LLC. Palo Alto, CA, United States
Memory Efficient Tabular Foundation Models
Jul 30, 2026Shuting Luo, Monika Mikhail Kanaan, Cameron Gordon +2Tabular Foundation Models Tabular Learning
Commonwealth Bank of Australia, Australia · Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia
Understanding Context Sampling in TabPFN on Small Tabular Datasets
Jul 29, 2026Mohammed AbdullahTabular Learning Tabular Prior-Data Fitted Network
Department of AI & Data Science Anna University
Topological Signatures of Context-Level Reliability in TabPFN
Jul 20, 2026James Hu, Mahdi GhelichiPersistent Homology Tabular Prior-Data Fitted Network
Model Development Innovation, Risk Management TD Bank, Toronto, Canada
Deep and Probabilistic Models for Gene Regulatory Network Inference
Jul 17, 2026Claudia Skok GibbsRegulatory Networks Genome-Wide Association Study
Center for Data Science New York University
A Causal Foundation Model for Structure and Outcome Prediction
Jun 25, 2026Max Zhu, Martino Mansoldo, Ching-Hao Wang +1Tabular Prior-Data Fitted Network Tabpfn
University of Cambridge, United Kingdom · GSK.ai.
A Fair Evaluation of Graph Foundation Models for Node Property Prediction
Jun 23, 2026Oleg Platonov, Gleb Bazhenov, Dmitry Eremeev +1Graph Foundation Model Graph Neural Networks
1HSE University · 2Yandex Research
A Causal DAG Prior for Synthetic Time-Series Classification Datasets
Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasTabular Prior-Data Fitted Network Time-Series Classification
Massachusetts Institute of Technology, Cambridge, MA, USA.
Temporal Causal Prior-Data Fitted Networks for Panel Data with Learned Reliability Signals
Jun 18, 2026Shravan Talupula, Saurabh SharmaCausal Discovery Methods Tabular Prior-Data Fitted Network
ProfitOps Inc.
CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
Jun 9, 2026Jamie Heredge, Mattia J. Villani, Pranav Deshpande +2Tabular Prior-Data Fitted Network In-Context Learning
Global Technology Applied Research, JPMorganChase, New York, NY 10001, USA
TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention
Jun 5, 2026Si-Yang Liu, Han-Jia YeTabular Foundation Models Tabular Prior-Data Fitted Network
School of Artificial Intelligence, Nanjing University, China · National Key Laboratory for Novel Software Technology, Nanjing University, China.
Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors
Jun 5, 2026Tao Chen, Yexu Zhou, Zhi Gong +9Time Series Forecasting Time Series
SUPCON Technology Co., Ltd. Hangzhou, China · Hangzhou Dianzi University, HangZhou, 310018, China · Xidian University, Xi’an 710071, Shaanxi, China.
Towards Pretraining Text Encoders for TabPFN
Jun 3, 2026Mustafa Tajjar, Alexander Pfefferle, Lennart Purucker +1Tabular Foundation Models Tabular Prior-Data Fitted Network
Department of Computer Science, University of Freiburg, Freiburg, Germany · ELLIS Institute Tübingen, Tübingen, Germany · Prior Labs, Freiburg, Germany.
SurvPFN: Towards Foundation Models for Survival Predictions
Jun 3, 2026Samuel Böhm, Lennart Purucker, Frank Hutter +1Survival Predictions Survival Analysis
Institute of Epidemiology and Prevention, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany · Institute of Epidemiology and Prevention, Medical Center – University of Freiburg, Freiburg, Germany · Department of Computer Science, University of Freiburg, Freiburg, Germany +7
On the Uncertainty Quantification Ability of Tabular Foundation Models
May 31, 2026Tyler R. Johnson, Kian Ben-Jacob, Nima Negarandeh +2Tabular Foundation Models Tabular Prior-Data Fitted Network
Department of Mechanical and Aerospace Engineering, University of California, Irvine · Department of Civil and Environmental Engineering, University of California, Irvine
Towards Continuous-time Causal Foundation Models
May 26, 2026Dennis Thumm, Ruben Wiedemann, Ying ChenTabular Prior-Data Fitted Network Stochastic Differential Equations
National University of Singapore · Department of Mathematics, Centre for Quantitative Finance, Risk Management Institute, National University of Singapore. · Imperial College London
Transformers Can Learn Posterior Predictive Distributions In-Context
May 26, 2026Gyeonghun Kang, Changwoo J. Lee, Xiang ChengPosterior Predictive Distribution Transformer Architectures
Department of Statistical Science, Duke University, Durham, NC, USA · Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
May 20, 2026Samuel McDowell, Nathan Stromberg, Lalitha SankarTabular Prior-Data Fitted Network Imbalanced Classification
School of Electrical, Computer and Energy Engineering · Arizona State University, Tempe, AZ
When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
May 19, 2026Xinpeng Lv, Yunxin Mao, Renzhe Xu +13Tabular Foundation Models Tabular Prior-Data Fitted Network
College of Computer, National University of Defense Technology, Changsha, China · Institute for Theoretical Computer Science, Shanghai University of Finance and Economics, Shanghai, China · State Key Lab of General AI, School of Intelligence Science and Technology, Peking University, Beijing, China +3
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
May 15, 2026Shi-ang Qi, Vahid Balazadeh, Michael Cooper +2Survival Analysis Survival Predictions
Vector Institute · University of Toronto · University of Alberta +1
Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks
May 11, 2026Emil Javurek, Dennis Frauen, Marie Brockschmidt +2Causal Inferences Tabular Prior-Data Fitted Network
1LMU Munich · 2Munich Center for Machine Learning (MCML)
PFN-TS: Thompson Sampling for Contextual Bandits via Prior-Data Fitted Networks
May 11, 2026Yan Shuo Tan, Kenyon Ng, Ruizhe Deng +3Thompson Sampling Tabular Prior-Data Fitted Network
National University of Singapore · Monash University · Renmin University of China +1
PRIM: Meta-Learned Bayesian Root Cause Analysis
May 9, 2026Christopher Lohse, Anish Dhir, Amadou Ba +3Root Cause Analysis Causal Inferences
University of Dublin, Trinity College, Dublin, Ireland · IBM · Gatsby Computational Neuroscience Unit, University College London +2
Pre-trained Tabular Foundation Models as Versatile Summary Networks for Neural Posterior Estimation
May 8, 2026Elliot Pickens, Chiraag Gohel, Sidharth SatyaTabular Prior-Data Fitted Network Tabpfn
University of Pennsylvania · The George Washington University · Brown University
Breaking Spatial Uniformity: Prior-Guided Mamba with Radial Serialization for Lens Flare Removal
May 8, 2026Zijia Fu, Yuanfei Huang, Lizhi Wang +1Gaussian Deblurring Restoration
School of Artificial Intelligence, Beijing Normal University, Beijing, China · School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
Decoupled PFNs: Identifiable Epistemic-Aleatoric Decomposition via Structured Synthetic Priors
May 7, 2026Richard Bergna, Stefan Depeweg, José Miguel Hernández-LobatoPosterior Predictive Distribution Tabular Prior-Data Fitted Network
University of Cambridge · 2Siemens AG
End-to-End Learning for Partially-Observed Time Series with PyPOTS
Apr 27, 2026Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1Missing Data Time Series
PyPOTS Research · PyPOTS Research & Univ. of Oxford · Squirrel Ai Learning
Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure
Mar 10, 2026Davide Tugnoli, Andrea De Lorenzo, Marco Virgolin +1Synthetic Tabular Data Tabular Prior-Data Fitted Network
Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy · InSilicoTrials Technologies, Riva Grumula 2, 34123 Trieste, Italy · Department of Engineering and Architecture, University of Trieste, Trieste, Italy +3

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LinearPFN: Amortized Variable Selection for Linear Models with Interactions

Louis Schiekiera, Max Zimmer, Christophe Roux, Manuel Arnold+2

Institute of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany · Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany · Department for AI in Society, Science, and Technology, Zuse Institute Berlin, Germany+1

Tabular Prior-Data Fitted Network

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Spike-and-slab regression is a standard Bayesian formulation of variable selection: it returns a posterior distribution over which candidate effects are active rather than a single selected subset, so that every candidate effect carries an inclusion probability. Its cost grows exponentially with the number of candidate effects, so the posterior can be enumerated exactly only when the number of predictors is small. Beyond that reach, the posterior has to be approximated, typically by Markov chain Monte Carlo over the model space, which requires a fresh run for every dataset and, within a fixed budget of steps, may fail to converge. We present LinearPFN, a prior-data fitted transformer network that amortizes spike-and-slab inference for linear models with main effects and pairwise interactions. The network is pretrained once on synthetic datasets, drawn from an explicitly specified prior, and a single forward pass over a new dataset returns posterior inclusion probabilities, posterior-mean coefficients and posterior predictive distributions with no per-dataset fitting. The prior is conjugate by design, so that the posterior for each fixed set of active effects has a closed form, and wherever the exact posterior is still computable by enumeration we verify the network's outputs against it. On real predictor matrices from published social-science datasets, with outcomes drawn from the prior so that the true active set is known, LinearPFN attains a higher per-dataset selection AUC and a higher F1 under the median probability model rule than five classical baselines. The lead holds when the coefficients, the interactions or the noise depart from the prior. Code: https://github.com/schiekiera/LinearPFN. Trained model: https://huggingface.co/schiekiera/LinearPFN.

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