7 citations · 16 across the 9 of their papers we have counts for
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cs.LG2024
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations
Yueyang Shen, Agus Sudjianto, Arun Prakash R +5
We propose and study a minimalist approach towards synthetic tabular data generation. The model consists of a minimalistic unsupervised SparsePCA encoder (with contingent clusterin…
cs.LG2023★ 7 cited
PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics
Agus Sudjianto, Aijun Zhang, Zebin Yang +2
PiML (read -ML, /`pai`em`el/) is an integrated and open-access Python toolbox for interpretable machine learning model development and model diagnostics. It is designed with mac…