Mindful Modeler
Christoph MolnarTabular foundation models, ML interpretability, and beyond by a statistician turned machine learner.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 145 | Founded | 4 years ago | Last Issue | 8 days ago |
| Active | |||||
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mindfulmodeler.substack.comLatest Issues
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...
Tabular ML is entering a new benchmark era
In tabular machine learning, benchmarks are old news. When ML researchers develop a new machine learning algorithm, they pick a set of datasets like OpenML-CC18 and compare the performance of the new algorithm against the state-of-the-art a...
How to make Tabular Foundation Model inference faster
The greatest bottleneck with tabular foundation models: Prediction, aka inference, is slow.
This post is a collection of tips and tricks to make tabular foundation models much faster. BUT! There is always a price to pay. And you must decid...
Time series forecasting with tabular foundation models
This post is a quick primer on using tabular foundation models for time series forecasting.
In my post titled I’m betting on tabular foundation models, I argued that TFMs will work with all kinds of supervised ML tasks because you can pre-...
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