Author

Nilesh Verma

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#artificial intelligence Preprint Oct 2026

Rethinking Tabular Foundation Models On Data Streams

Tabular foundation models (TFMs) outperform established machine learning models on tabular benchmarks through in-context learning. Building on this success, interest is growing in applying them to data streams, where data arrive continuously and evolve over time. On a stream, a TFM adapts by updating its context rather...

Nilesh Verma, Daniel Nowak Assis, Afonso Lourenço et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TuiML: Machine Learning for AI Agents

TuiML is a self-contained machine-learning library built for AI agents, with native algorithms across supervised, unsupervised, time-series, data handling, tuning, and evaluation tasks, and Benchmarks show TuiML remains predictively competitive with scikit-learn and Weka.

Nilesh Verma, N. Lim, Albert Bifet et al. · 0 citations