Mindful Modeler
Christoph MolnarTabular foundation models, ML interpretability, and beyond by a statistician turned machine learner.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 148 | Founded | 4 years ago | Last Issue | 5 days ago |
| Active | |||||
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mindfulmodeler.substack.comLatest Issues
When trees still beat tabular foundation models
As you might have noticed, I’m rather optimistic about tabular foundation models. And while TFMs have been gaining momentum, beating benchmark after benchmark, they don’t outperform every time. And it’s not just random tasks here and there,...
What is TabPFN's Thinking mode?
When I read the TabPFN-3 Technical Report, the benchmark for “TabPFN-3-Thinking” stood out: it appeared at the top of the TabArena benchmark for large datasets. TabPFN-3-Thinking also surpassed AutoGluon 1.5 extreme, an open-source AutoML f...
How TabICL and TabPFN handle missing values
You can give training or test data with missing values to the tabular foundation models TabPFN and TabICL, and the prediction will “just work”. But what happens in the background?
Let’s find out.
How TabICL handles missing values
For...
TabPFN and TabICL are not everything
How do you pre-train a tabular model?
One answer is tabular foundation models like TabPFN and TabICL. They are prior-data fitted networks, an approach to tabular foundation models. I covered the PFN family extensively in this blog (start h...
I’m writing a book on Tabular Foundation Models
tl;dr: In-progress book here: tabularfoundationmodels.com
In terms of book writing, my last year has been horrible. I quit writing Building Blocks of ML after months of work, and I put Machine Learning 4 Remote Sensing on ice. My 2025 expe...
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