Author

Jacob Feitelberg

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#machine learning Preprint Jun 2025

N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion

This paper introduces N$^2$, a unified Python package and testbed that consolidates a broad class of NN-based methods through a modular, extensible interface and introduces a new NN variant that achieves state-of-the-art results in several settings.

Caleb Chin, Aashish Khubchandani, Harshvardhan Maskara et al. · 0 citations

#machine learning Preprint Oct 2025

One Pipeline, Many Transformers: Pattern-Specific Imputation Specialists for Tabular Missing Data

A single pre-training pipeline that builds transformer-based imputation specialists through three components: an entry-wise featurization that recasts imputation as supervised prediction over row--column context, a synthetic data generator with pluggable missingness modules, and prior-data fitting on millions of synthe...

Jacob Feitelberg, Dwaipayan Saha, Kyuseong Choi et al. · 2 citations · ⚡1