Papers
TabPFN Followups¶
Forecastpfn: Synthetically-trained zero-shot forecasting
Dooley, Khurana, Mohapatra, Naidu, White
Advances in Neural Information Processing Systems, 2024, Volume 36.
Interpretable machine learning for TabPFN
Rundel, Kobialka, von Crailsheim, Feurer, Nagler, R{"u}gamer
World Conference on Explainable Artificial Intelligence, 2024, Pages 465--476.
Scaling tabpfn: Sketching and feature selection for tabular prior-data fitted networks
Feuer, Hegde, Cohen
arXiv preprint arXiv:2311.10609, 2023.
In-Context Data Distillation with TabPFN
Ma, Thomas, Yu, Caterini
arXiv preprint arXiv:2402.06971, 2024.
Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification
Liu, Yang, Liang, Pang, Zou
arXiv preprint arXiv:2406.06891, 2024.
Towards Localization via Data Embedding for TabPFN
Koshil, Nagler, Feurer, Eggensperger
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
Enhancing Classification Performance Through the Synergistic Use of XGBoost, TABPFN, and LGBM Models
Prabowo, others
2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), 2023, Pages 255--259.
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Hoo, M{"u}ller, Salinas, Hutter
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
TabPFGen--Tabular Data Generation with TabPFN
Ma, Dankar, Stein, Yu, Caterini
arXiv preprint arXiv:2406.05216, 2024.
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Helli, Schnurr, Hollmann, M{"u}ller, Hutter
arXiv preprint arXiv:2411.10634, 2024.
TabFlex: Scaling Tabular Learning to Millions with Linear Attention
Zeng, Kang, Mueller
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
Retrieval \& Fine-Tuning for In-Context Tabular Models
Thomas, Ma, Hosseinzadeh, Golestan, Yu, Volkovs, Caterini
arXiv preprint arXiv:2406.05207, 2024.
TabDPT: Scaling Tabular Foundation Models
Ma, Thomas, Hosseinzadeh, Kamkari, Labach, Cresswell, Golestan, Yu, Volkovs, Caterini
arXiv preprint arXiv:2410.18164, 2024.
Why In-Context Learning Transformers are Tabular Data Classifiers
Breejen, Bae, Cha, Yun
arXiv preprint arXiv:2405.13396, 2024.
MotherNet: Fast Training and Inference via Hyper-Network Transformers
Mueller, Curino, Ramakrishnan
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
Mixture of In-Context Prompters for Tabular PFNs
Xu, Cirit, Asadi, Sun, Wang
arXiv preprint arXiv:2405.16156, 2024.
Fast and Accurate Zero-Training Classification for Tabular Engineering Data
Picard, Ahmed
arXiv preprint arXiv:2401.06948, 2024.
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
den Breejen, Bae, Cha, Kim, Koh, Yun
NeurIPS 2023 Second Table Representation Learning Workshop, 2023.
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Feuer, Schirrmeister, Cherepanova, Hegde, Hutter, Goldblum, Cohen, White
arXiv preprint arXiv:2402.11137, 2024.
Exploration of autoregressive models for in-context learning on tabular data
Baur, Kim
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
Margeloiu, Bazaga, Simidjievski, Li{`o}, Jamnik
arXiv preprint arXiv:2406.01805, 2024.
Large Scale Transfer Learning for Tabular Data via Language Modeling
Gardner, Perdomo, Schmidt
arXiv preprint arXiv:2406.12031, 2024.
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
Hu, Fountalis, Tian, Vasiloglou
arXiv preprint arXiv:2406.16349, 2024.
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Gorishniy, Kotelnikov, Babenko
arXiv preprint arXiv:2410.24210, 2024.
Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study
Jiang, Jia, Zhang, Li
2023 IEEE International Conference on E-health Networking, Application \& Services (Healthcom), 2023, Pages 276--281.
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
Margeloiu, Jiang, Simidjievski, Jamnik
arXiv preprint arXiv:2409.16118, 2024.
Augmenting Small-size Tabular Data with Class-Specific Energy-Based Models
Margeloiu, Jiang, Simidjievski, Jamnik
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
FORECASTPFN: ZERO-SHOT LOW-RESOURCE FORECASTING
Khurana, Dooley, Naidu, White, AI
No Source, No Year.
What exactly has TabPFN learned to do?
McCarter
The Third Blogpost Track at ICLR 2024, No Year.
Statistical foundations of prior-data fitted networks
Nagler
International Conference on Machine Learning, 2023, Pages 25660--25676.
Why In-Context Learning Transformers are Tabular Data Classifiers
den Breejen, Bae, Cha, Yun
arXiv e-prints, 2024, Pages arXiv--2405.
TabPFN Application¶
Large-scale chemoproteomics expedites ligand discovery and predicts ligand behavior in cells
Offensperger, Tin, Duran-Frigola, Hahn, Dobner, Ende, Strohbach, Rukavina, Brennsteiner, Ogilvie, others
Science, 2024, Volume 384, Issue 6694, Pages eadk5864.
Deep learning for cross-selling health insurance classification
Chu, Than, Jo
2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 2024, Pages 453--457.
Early fault classification in rotating machinery with limited data using TabPFN
Magad{'a}n, Rold{'a}n-G{'o}mez, Granda, Su{'a}rez
IEEE Sensors Journal, 2023.
Artificial intelligence-driven predictive framework for early detection of still birth
Alzakari, Aldrees, Umer, Cascone, Innab, Ashraf
SLAS technology, 2024, Volume 29, Issue 6, Pages 100203.
Prostate Cancer Diagnosis via Visual Representation of Tabular Data and Deep Transfer Learning
El-Melegy, Mamdouh, Ali, Badawy, El-Ghar, Alghamdi, El-Baz
Bioengineering, 2024, Volume 11, Issue 7, Pages 635.
A machine learning-based approach for individualized prediction of short-term outcomes after anterior cervical corpectomy
Karabacak, Schupper, Carr, Margetis
Asian Spine Journal, 2024, Volume 18, Issue 4, Pages 541.
Comparing the Performance of a Deep Learning Model (TabPFN) for Predicting River Algal Blooms with Varying Data Composition
Yang, Park
Journal of Wetlands Research, 2024, Volume 26, Issue 3, Pages 197--203.
Adapting TabPFN for Zero-Inflated Metagenomic Data
Perciballi, Granese, Fall, Zehraoui, Prifti, Zucker
NeurIPS 2024 Third Table Representation Learning Workshop, No Year.
Comprehensive peripheral blood immunoprofiling reveals five immunotypes with immunotherapy response characteristics in patients with cancer
Dyikanov, Zaitsev, Vasileva, Wang, Sokolov, Bolshakov, Frank, Turova, Golubeva, Gantseva, others
Cancer Cell, 2024, Volume 42, Issue 5, Pages 759--779.
Predicting dementia in Parkinson's disease on a small tabular dataset using hybrid LightGBM--TabPFN and SHAP
Tran, Byeon
Digital Health, 2024, Volume 10, Pages 20552076241272585.
Enhancing actuarial non-life pricing models via transformers
Brauer
European Actuarial Journal, 2024, Pages 1--22.
Machine learning-based diagnostic prediction of minimal change disease: model development study
Noda, Ichikawa, Shibagaki
Scientific Reports, 2024, Volume 14, Issue 1, Pages 23460.
Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests
Khanmohammadi, Cruz, Perrakis, Alexander, Arashpour
Ecological Informatics, 2024, Volume 82, Pages 102711.
Machine learning applications on lunar meteorite minerals: From classification to mechanical properties prediction
Pe{~n}a-Asensio, Trigo-Rodr{'\i}guez, Sort, Ib{'a}{~n}ez-Insa, Rimola
International Journal of Mining Science and Technology, 2024.
Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning
Karabacak, Ozkara, Faizy, Hardigan, Heit, Lakhani, Margetis, Mocco, Nael, Wintermark, others
American Journal of Neuroradiology, 2024.