tabpfn 0.1.0 A new R package for tabular deep learning models.

We've released the first version of our tabpfn #rstats package to CRAN. This is an interface to the Python #TabPFN package.

tidyverse.org/blog/2026/03...

The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.

New #J2C Certification:

Probabilistic Pretraining for Improved Neural Regression

Boris N. Oreshkin, Shiv Kumar Tavker, Dmitry Efimov

https://openreview.net/forum?id=F6BTATGXaf

#datasets #tabpfn #regression

Exploring TabPFN: A Foundation Model Built For Tabular Data Explore TabPFN, a transformer-based foundation model for tabular data that delivers state-of-the-art, no-tuning performance with a single forward pass.

Exploring TabPFN: A Foundation Model Built For Tabular Data The Tabular Foundation Model Moment For years, tabular data was the one domain where deep.... @cosmicmeta.ai #TabPFN

https://u2m.io/rREUaYdG

I just gave a 20m overview of the #TabPFN deep learning model at R/Pharma.

The slides are at: topepo.github.io/2025-r-pharma/

(link to Quarto files on the second slide)

Just presented our @fau.de @taltstidl.bsky.social #ML study at #TCT2025 🌉 demonstrating
👉 accurate & daily refined predictions of neurological outcome after #cardiacarrest based on routinely collected clinical & laboratory parameters is feasible with #TabPFN
🔗 www.tctmd.com/slide/tct-91...

Uncertainty‑Guided Model Selection Improves Biomolecule Predictions

Using TabPFN's inter‑quantile range to pick low‑uncertainty models improves siRNA knockdown predictions, beating simple averaging. The pre‑print was posted on 2 Oct 2025. getnews.me/uncertainty-guided-model... #tabpfn #siRNA

Kriging Prior Regression Boosts Soil Mapping Accuracy with TabPFN

Kriging prior Regression (KpR) paired with TabPFN boosted soil mapping accuracy, raising R² by about 30% across six LimeSoDa field datasets of organic carbon, clay and pH. getnews.me/kriging-prior-regression... #soilmapping #tabpfn #kriging

TabPFN Beats VBLL for Uncertainty Calibration in Medical Data

Research on three medical tabular datasets shows TabPFN outperforms a VBLL‑enhanced version in uncertainty calibration; the paper was submitted on 12 Sep 2025. getnews.me/tabpfn-beats-vbll-for-un... #tabpfn #vbll #uncertaintycalibration

It’s an impractical drain of time and money, especially when proven and efficient models like CatBoost can deliver faster, cheaper, and more reliable results.

#tabulardata #tabpfn #machinelearning #datascience

GitHub - valeman/TabPFN_Is_What_You_Dont_Need: The best repo showing why TabPFN doesn’t work. The best repo showing why TabPFN doesn’t work. Contribute to valeman/TabPFN_Is_What_You_Dont_Need development by creating an account on GitHub.

Let's build a reliable picture of TabPFN's strengths and weaknesses—grounded in evidence, not hype.

github.com/valeman/T...

#tabulardata #tabpfn

#tabpfn

Concepts for working with little specific data to a given task have first gained significant relevance for AI with the first #GPT models. Their relevance has ever grown since. Thanks to architectures like #TabPFN it is also possible, to apply #FewShotLearning to applications, where precision is key.

SuperDataScience

Just listened to this fantastic episode about #TabPFN - using #DeepLearning for tabular data, including time-series data.

www.superdatascience.com/podcast/863

Based on the @nature.com paper: www.nature.com/articles/s41...

#TabPFN es un modelo fundacional para datos tabulares que supera a modelos tradicionales (así es, supera a modelos como RandomForest y GradientBoosting) en precisión, pero lo más increíble de todo es que NO REQUIERE ENTRENAMIENTO

The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features Foundation models have become popular in forecasting due to their ability to make accurate predictions, even with minimal fine-tuning on specific datasets. In this paper, we demonstrate how the newly ...

arxiv.org/abs/2501.02945

#TabPFN for the win in time series @toates.bsky.social